Akira Notsu

According to our database, Akira Notsu authored at least 169 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FCM-Induced Switching Reinforcement Learning for Collaborative Learning.

Katsuhiro Honda, Taimu Yaotome, Seiki Ubukata, Akira Notsu

Proceedings of the International Joint Conference on Neural Networks, 2024

Control of JADE Population in Limited Number of Searches for Realistic Situations.

Tomoya Matsuki, Akira Notsu, Katsuhiro Honda, Takuya Kato, Masakazu Shibahara

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

A comparative study on effects of some exclusive conditions in fuzzy co-clustering for collaborative filtering.

Katsuhiro Honda, Seiki Ubukata, Akira Notsu

J. Ambient Intell. Humaniz. Comput., 2023

Predicting Stock Price Fluctuations Considering the Sunny Effect.

Kenta Nakaniwa, Tomoya Matsuki, Makishi Iguchi, Akira Notsu, Katsuhiro Honda

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

Handling of Component-Wise Noise in ANFIS Induced by Ellipsoidal Fuzzy Clustering.

Katsuhiro Honda, Ryuta Kurahashi, Seiki Ubukata, Akira Notsu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

FCM-Induced Switching Fuzzy Factorization Machine for Collaborative Filtering.

Rikuto Daido, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Fuzzy c-Lines for Vertically Distributed Database with Missing Values.

Kohei Kunisawa, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Handling of Missing Values in FCM Clustering-based ANFIS with Partial Distance Strategy.

Katsuhiro Honda, Satoshi Hyakutake, Seiki Ubukata, Akira Notsu

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Additional Out-Group Search for JADE.

Yuichi Miyahira, Akira Notsu

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification.

Katsuhiro Honda, Koki Kitamori, Seiki Ubukata, Akira Notsu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms.

Katsuhiro Honda, Issei Hayashi, Seiki Ubukata, Akira Notsu

J. Adv. Comput. Intell. Intell. Informatics, 2021

Objective function-based rough membership C-means clustering.

Seiki Ubukata, Akira Notsu, Katsuhiro Honda

Inf. Sci., 2021

Fuzzy-Possibilistic Clustering for Categorical Multivariate Data.

Katsuhiro Honda, Kosuke Hayashi, Seiki Ubukata, Akira Notsu

Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

Fuzzy <i>c</i>-Varieties Clustering for Vertically Distributed Datasets.

Katsuhiro Honda, Kohei Kunisawa, Seiki Ubukata, Akira Notsu

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020

Noise Rejection Approaches for Various Rough Set-Based <i>C</i>-Means Clustering.

Seiki Ubukata, Sho Sekiya, Akira Notsu, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2020

A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition.

Katsuhiro Honda, Yoshiki Hakui, Seiki Ubukata, Akira Notsu

J. Adv. Comput. Intell. Intell. Informatics, 2020

Online state space generation by a growing self-organizing map and differential learning for reinforcement learning.

Akira Notsu, Koji Yasuda, Seiki Ubukata, Katsuhiro Honda

Appl. Soft Comput., 2020

Basic Consideration of Collaborative Filtering Based on Rough C-Means Clustering.

Seiki Ubukata, Shu Takahashi, Akira Notsu, Katsuhiro Honda

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

Basic Consideration of Rough C-Medoids Clustering with Minkowski Distance.

Seiki Ubukata, Atsushi Sugimoto, Akira Notsu, Katsuhiro Honda

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

Randomness Selection in Differential Evolution Using Thompson Sampling.

Akira Notsu, Junya Tsubamoto, Yuichi Miyahira, Seiki Ubukata, Katsuhiro Honda

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

Basic Consideration of Co-Clustering Based on Rough Set Theory.

Seiki Ubukata, Narihira Nodake, Akira Notsu, Katsuhiro Honda

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2020

A Noise Rejection Mechanism for pLSA-induced Fuzzy Co-clustering.

Katsuhiro Honda, Keita Hoshii, Seiki Ubukata, Akira Notsu

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Proposal of Adaptive Randomness in Differential Evolution.

Junya Tsubamoto, Akira Notsu, Seiki Ubukata, Katsuhiro Honda

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Comparative Study on Three-mode Fuzzy Co-clustering Based on Co-occurrence Aggregation Criteria.

Katsuhiro Honda, Issei Hayashi, Seiki Ubukata, Akira Notsu

Proceedings of the International Symposium on Community-centric Systems, 2020

2019

Designation of Candidate Solutions in Differential Evolution Based on Bandit Algorithm and its Evaluation.

Masaya Sakakibara, Akira Notsu, Seiki Ubukata, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2019

Fuzzy Co-clustering for Categorization of Subjects in Questionnaire Considering Responsibility of Each Question.

Katsuhiro Honda, Ruixin Yang, Seiki Ubukata, Akira Notsu

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

A Comparative Study on Questionnaire Design for Categorization Based on Fuzzy Co-clustering Concept and Multi-view Possibilistic Partition.

Ruixin Yang, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2019

Effects of Semi-supervised Learning on Rough Membership C- Means Clustering.

Takeaki Shimizu, Seiki Ubukata, Akira Notsu, Katsuhiro Honda

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2019

Fuzzy c-Regression Models with Cluster Characteristics Clarification.

Shinpei Nasada, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2019

Comparison of Gradient Descent Methods in Online Fuzzy Co-clustering.

Keiko Kida, Seiki Ubukata, Akira Notsu, Katsuhiro Honda

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2019

Robust Non-negative Matrix Factorization Based on Noise Fuzzy Clustering Mechanism.

Masaaki Ueno, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the AICCC 2019: 2nd Artificial Intelligence and Cloud Computing Conference, 2019

2018

Characteristics of Rough Set <i>C</i>-Means Clustering.

Seiki Ubukata, Keisuke Umado, Akira Notsu, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2018

Rough Set-Based Clustering Utilizing Probabilistic Memberships.

Seiki Ubukata, Hiroki Kato, Akira Notsu, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2018

MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics.

Seiki Ubukata, Katsuya Koike, Akira Notsu, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2018

Visual Co-Cluster Assessment with Intuitive Cluster Validation Through Cooccurrence-Sensitive Ordering.

Katsuhiro Honda, Takuya Sako, Seiki Ubukata, Akira Notsu

J. Adv. Comput. Intell. Intell. Informatics, 2018

Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics.

Takafumi Goshima, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Int. J. Approx. Reason., 2018

Optimization of Learning Cycles in Online Reinforcement Learning Systems.

Akira Notsu, Koji Yasuda, Seiki Ubukata, Katsuhiro Honda

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Automatic Estimation of Cluster Number in Fuzzy Co-Clustering Based on Competition and Elimination of Clusters.

Seiki Ubukata, Kazuki Yanagisawa, Akira Notsu, Katsuhiro Honda

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data.

Katsuhiro Honda, Shotaro Matsuzaki, Seiki Ubukata, Akira Notsu

Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

Effects of Semi-supervised Learning on Rough Set-Based C-Means Clustering.

Seiki Ubukata, Takeaki Shimizu, Akira Notsu, Katsuhiro Honda

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2018

Basic Consideration of Online and Mini-Batch Algorithms for MMMs-induced Fuzzy Co-clustering.

Seiki Ubukata, Akira Notsu, Keiko Kida, Katsuhiro Honda

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2018

Setting of Candidate Solutions Considering Confidence Intervals in Differential Evolution.

Akira Notsu, Masaya Sakakibara, Seiki Ubukata, Katsuhiro Honda

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2018

2017

Noise Rejection in MMMs-Induced Fuzzy Co-Clustering.

Katsuhiro Honda, Nami Yamamoto, Seiki Ubukata, Akira Notsu

J. Adv. Comput. Intell. Intell. Informatics, 2017

FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK.

Katsuhiro Honda, Yurina Suzuki, Seiki Ubukata, Akira Notsu

Adv. Fuzzy Syst., 2017

Possibilistic co-clustering based on extension of noise rejection scheme in FCCMM.

Seiki Ubukata, Katsuya Koike, Akira Notsu, Katsuhiro Honda

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

A novel approach to noise clustering in multivariate fuzzy c-Means.

Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Visual assessment of co-cluster structure through cooccurrence-sensitive ordering.

Katsuhiro Honda, Takuya Sako, Seiki Ubukata, Akira Notsu

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution.

Nami Yamamoto, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A fuzzy co-clustering model for three-modes relational cooccurrence data.

Katsuhiro Honda, Yurina Suzuki, Mio Nishioka, Seiki Ubukata, Akira Notsu

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Visualization of Learning Process in "State and Action" Space Using Self-Organizing Maps.

Akira Notsu, Yuichi Hattori, Seiki Ubukata, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2016

A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples.

Daiji Tanaka, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Adv. Fuzzy Syst., 2016

The Rough Set k-Means Clustering.

Seiki Ubukata, Akira Notsu, Katsuhiro Honda

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Application of the UCT Algorithm for Noisy Optimization Problems.

Akira Notsu, Satoshi Kane, Seiki Ubukata, Katsuhiro Honda

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

A Study on Recommendation Ability in Collaborative Filtering by Fuzzy Co-Clustering with Exclusive Item Partition.

Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

A Noise Fuzzy Co-Clustering Scheme in MMMs-Induced Clustering.

Katsuhiro Honda, Nami Yamamoto, Seiki Ubukata, Akira Notsu

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Cluster Validation in Multinomial Mixtures-Induced Fuzzy Co-Clustering.

Katsuhiro Honda, Yurina Suzuki, Seiki Ubukata, Akira Notsu

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

The Rough Membership k-Means Clustering.

Seiki Ubukata, Akira Notsu, Katsuhiro Honda

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Exclusive Item Partition with Fuzziness Tuning in MMMs-Induced Fuzzy Co-clustering.

Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Fuzzy DA Clustering-Based Improvement of Probabilistic Latent Semantic Analysis.

Takafumi Goshima, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information.

Katsuhiro Honda, Hikaru Sakamoto, Seiki Ubukata, Akira Notsu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A fuzzy co-clustering interpretation of probabilistic latent semantic analysis.

Katsuhiro Honda, Takafumi Goshima, Seiki Ubukata, Akira Notsu

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Fuzzy Co-Clustering Induced by Multinomial Mixture Models.

Katsuhiro Honda, Shunnya Oshio, Akira Notsu

J. Adv. Comput. Intell. Intell. Informatics, 2015

Partially Exclusive Item Partition in MMMs-Induced Fuzzy Co-Clustering and its Effects in Collaborative Filtering.

Katsuhiro Honda, Takaya Nakano, Chi-Hyon Oh, Seiki Ubukata, Akira Notsu

J. Adv. Comput. Intell. Intell. Informatics, 2015

A Collaborative Framework for Privacy Preserving Fuzzy Co-Clustering of Vertically Distributed Cooccurrence Matrices.

Katsuhiro Honda, Toshiya Oda, Daiji Tanaka, Akira Notsu

Adv. Fuzzy Syst., 2015

A study on fuzzy co-clustering with partial supervision and virtual samples.

Daiji Tanaka, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Fuzzy co-clustering considering site-wise confidence of vertically partitioned cooccurrence data.

Toshiya Oda, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition.

Katsuhiro Honda, Masahiro Omori, Seiki Ubukata, Akira Notsu

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

An Ensemble Learning Approach Based on Missing-Valued Tables.

Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

An Ensemble Learning Approach Based on Rough Set Preserving the Qualities of Approximations.

Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

A Deterministic Clustering Framework in MMMs-Induced Fuzzy Co-clustering.

Shunnya Oshio, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

FCM-Type Co-clustering Transfer Reinforcement Learning for Non-Markov Processes.

Akira Notsu, Takanori Ueno, Yuichi Hattori, Seiki Ubukata, Katsuhiro Honda

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

Proposal of Grid Area Search with UCB for Discrete Optimization Problem.

Akira Notsu, Koki Saito, Yuhumi Nohara, Seiki Ubukata, Katsuhiro Honda

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

MMMs-Induced Fuzzy Co-clustering with Exclusive Partition Penalty on Selected Items.

Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

Performance Investigation of UCB Policy in Q-learning.

Koki Saito, Akira Notsu, Seiki Ubukata, Katsuhiro Honda

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering of Documents and Keywords.

Mai Muranishi, Katsuhiro Honda, Akira Notsu

Proceedings of the Soft Computing in Artificial Intelligence, 2014

Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance.

Shunsuke Iwata, Katsuhiro Honda, Akira Notsu

Proceedings of the Soft Computing in Artificial Intelligence, 2014

Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches.

Katsuhiro Honda, Akira Notsu, Chi-Hyon Oh

Proceedings of the Soft Computing in Artificial Intelligence, 2014

Improvement of PCA-Based Approximate Nearest Neighbor Search Using Distance Statistics.

Toshiro Ogita, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2014

Performance Comparison of Collaborative Filtering with k-Anonymized Data by Fuzzy k-Member Clustering.

Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2014

Utility of Turning Spot Learning under complex goal search and the limit of memory usage.

Yuki Tezuka, Akira Notsu, Katsuhiro Honda

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Privacy preserving fuzzy co-clustering with distributed cooccurrence matrices.

Daiji Tanaka, Toshiya Oda, Katsuhiro Honda, Akira Notsu

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

A comparative study on clustering-based group scenario summarization in AHP.

Akira Suwa, Katsuhiro Honda, Akira Notsu, Tomoe Entani

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Discounted UCB1-tuned for Q-learning.

Koki Saito, Akira Notsu, Katsuhiro Honda

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Alternative fuzzy c-regression models with tolerance.

Shunsuke Iwata, Katsuhiro Honda, Akira Notsu

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Exclusive condition on item partition in fuzzy co-clustering based on K-L information regularization.

Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Epidemie process simulator by multi agent simulation considering urban models.

Yuichi Hattori, Akira Notsu, Katsuhiro Honda

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Application of xie-beni-type validity index to fuzzy co-clustering models based on cluster aggregation and pseudo-cluster-center estimation.

Mai Muranishi, Katsuhiro Honda, Akira Notsu

Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

Item membership fuzzification in fuzzy co-clustering based on multinomial mixture concept.

Katsuhiro Honda, Shunnya Oshio, Akira Notsu

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Incremental algorithms for fuzzy co-clustering of very large cooccurrence matrix.

Katsuhiro Honda, Daiji Tanaka, Akira Notsu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

FCM-type fuzzy co-clustering by K-L information regularization.

Katsuhiro Honda, Shunnya Oshio, Akira Notsu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Fuzzy co-clustering of vertically partitioned cooccurrence data with privacy consideration.

Katsuhiro Honda, Toshiya Oda, Akira Notsu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Visualization of Non-Euclidean Relational Data by Robust Linear Fuzzy Clustering Based on FCMdd Framework.

Katsuhiro Honda, Takeshi Yamamoto, Akira Notsu, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2013

Introduction of Majority Vote of Neighborhood Conditions for Sneak form Reinforcement Learning.

Yuki Tezuka, Akira Notsu, Katsuhiro Honda

Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Intergration of Information based on the Similarity in AHP.

Akira Notsu, Hirokazu Kawakami, Yuki Tezuka, Katsuhiro Honda

Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

A Greedy Algorithm for k-Member Co-clustering and its Applicability to Collaborative Filtering.

Arina Kawano, Katsuhiro Honda, Hirohide Kasugai, Akira Notsu

Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier.

Takuya Kobayashi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Intrinsic scenario estimation by noise fuzzy clustering in group decision making.

Akira Suwa, Katsuhiro Honda, Akira Notsu, Tomoe Entani

Proceedings of the FUZZ-IEEE 2013, 2013

A cluster validity index for FCM-type co-clustering.

Mai Muranishi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2013, 2013

A study on applicability of fuzzy k-member clustering to privacy preserving pattern recognition.

Hirohide Kasugai, Arina Kawano, Katsuhiro Honda, Akira Notsu

Proceedings of the FUZZ-IEEE 2013, 2013

Fuzzy c-Regression Models with direction-dependent uncertainty and its application to residential solar electric power analysis.

Shunsuke Iwata, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2013, 2013

2012

Automatic Adaptive Space Segmentation for Reinforcement Learning.

Yuki Komori, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi

Int. J. Fuzzy Log. Intell. Syst., 2012

Information compression effect based on PCA for reinforcement learning agents' communication.

Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Ayaka Ido, Yuki Komori

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Cluster validation in k-Means clustering of mixed databases based on principal component analysis.

Ryoichi Nonoguchi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Robust local subspace learning by linear fuzzy clustering with Alternative c-Means criterion.

Sakuya Nakao, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

FCM-type co-clustering of categorical multivariate data with exclusive partition.

Yui Matsumoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Mixed usage of MATLAB and visual C for improving classification time and training time of FCM classifier.

Takuya Kobayashi, Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Comparison on membership functions in fuzzy k-member clustering for data anonymization.

Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

PCA-Tree NNS with two approximation methods and annulus bound method.

Hidetomo Ichihashi, Toshiro Ogita, Akira Notsu, Katsuhiro Honda

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Template-based fuzzy clustering with cluster-wise coordinate transformation.

Katsuhiro Honda, Shotaro Osaka, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

FCM-type co-clustering with exclusive partition of selected items and application to collaborative filtering.

Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Reinforcement learning with particles for instant optimality.

Tsuyoshi Beppu, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering.

Katsuhiro Honda, Yui Matsumoto, Arina Kawano, Akira Notsu, Hidetomo Ichihashi

Proceedings of the Intelligent Interactive Multimedia: Systems and Services, 2012

Application of cluster validity criteria to Rock-Paper-Scissors game judgment.

Yui Matsumoto, Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2012, 2012

Improvement by sorting and thresholding in PCA based nearest neighbor search.

Hidetomo Ichihashi, Toshiro Ogita, Katsuhiro Honda, Akira Notsu

Proceedings of the FUZZ-IEEE 2012, 2012

Alternative fuzzy c-lines and comparison with noise clustering in cluster validation.

Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2012, 2012

A fuzzy variant of k-member clustering for collaborative filtering with data anonymization.

Katsuhiro Honda, Arina Kawano, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2012, 2012

2011

Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data.

Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2011

Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization.

Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2011

Alternative fuzzy c-lines and local principal component extraction.

Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi

Int. J. Knowl. Eng. Soft Data Paradigms, 2011

Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure.

Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi

Int. J. Fuzzy Syst. Appl., 2011

A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data.

Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Adv. Fuzzy Syst., 2011

Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion.

Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Improvement of Particle Filter for Reinforcement Learning.

Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori, Yuuki Iwamoto

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Simple Reinforcement Learning for Small-Memory Agent.

Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Hybrid objective function of Fuzzy c-Varieties and cross-shape fuzzy cluster extraction.

Daisuke Yoshida, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2011, 2011

FCMdd-type linear fuzzy clustering for incomplete non-Euclidean relational data.

Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2011, 2011

Influence of the space segmentation and its adaptive automation for reinforcement learning.

Akira Notsu, Yuki Komori, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2011, 2011

Proposed particle-filtering method for reinforcement learning.

Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2011, 2011

Ellipse detection with hard c-regression models and random initializations.

Hidetomo Ichihashi, Li Chieu Lam, Katsuhiro Honda, Akira Notsu

Proceedings of the FUZZ-IEEE 2011, 2011

Comparison of scaling behavior between fuzzy c-means based classifier with many parameters and LibSVM.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu

Proceedings of the FUZZ-IEEE 2011, 2011

PCA-guided k-Means clustering with incomplete data.

Katsuhiro Honda, Ryoichi Nonoguchi, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2011, 2011

Partially exclusive condition for sequential fuzzy co-cluster extraction.

Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2011, 2011

A study on regularization effects of fuzzified memberships in FCM clustering.

Katsuhiro Honda, Yui Matsumoto, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2011, 2011

2010

Fuzzy PCA-Guided Robust k -Means Clustering.

Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

IEEE Trans. Fuzzy Syst., 2010

Collaborative filtering by sequential user-item co-cluster extraction from rectangular relational data.

Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Int. J. Knowl. Eng. Soft Data Paradigms, 2010

Local subspace learning by extended fuzzy c-medoids clustering.

Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Int. J. Knowl. Eng. Soft Data Paradigms, 2010

Formalizing coexistential communication as co-creation of Leibnizian spatio-temporal fields.

Osamu Katai, Hiroshi Kawakami, Takayuki Shiose, Akira Notsu

AI Soc., 2010

Fuzzy and Semi-hard <i>c</i>-Means Clustering with Application to Classifier Design.

Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda

Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

Semi-hard c-means clustering with application to classifier design.

Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda

Proceedings of the FUZZ-IEEE 2010, 2010

Improvement in the performance of camera based vehicle detector for parking lot.

Hidetomo Ichihashi, Tatsuya Katada, Makoto Fujiyoshi, Akira Notsu, Katsuhiro Honda

Proceedings of the FUZZ-IEEE 2010, 2010

PCA-guided fuzzy cluster validation with noise rejection.

Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2010, 2010

2009

Visualization of balancing systems based on naïve psychological approaches.

Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda, Osamu Katai

AI Soc., 2009

PCA-Guided <i>k</i>-Means with Variable Weighting and Its Application to Document Clustering.

Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

Conceptual graph generation from text documents based on perceptual balance.

Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2009, 2009

Benchmarking parameterized fuzzy c-Means classifier.

Kazuya Nagaura, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda

Proceedings of the FUZZ-IEEE 2009, 2009

Cluster validation in k-Means clustering based on PCA-guided k-Means and procrustean transformation of PC scores.

Tomohiro Matsui, Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2009, 2009

Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier.

Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda, Tatsuya Katada, Makoto Fujiyoshi

Proceedings of the FUZZ-IEEE 2009, 2009

Triplet of FCM classifiers.

Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda

Proceedings of the FUZZ-IEEE 2009, 2009

A comparative study on cluster validity criteria in linear fuzzy clustering and pareto optimality analysis.

Katsuhiro Honda, Tomonari Nomaguchi, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2009, 2009

Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach.

Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2009, 2009

Cluster validation in linear fuzzy clustering of relational data from multi-cluster principal coordinate analysis view point.

Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2009, 2009

2008

State and action space segmentation algorithm in Q-learning.

Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda

Proceedings of the International Joint Conference on Neural Networks, 2008

A Perceptual Approach to User Clustering in Collaborative Filtering.

Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Fuzzy c-means classifier with particle swarm optimization.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Keiichi Ohta

Proceedings of the FUZZ-IEEE 2008, 2008

FCM classifier for high-dimensional data.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Eri Miyamoto

Proceedings of the FUZZ-IEEE 2008, 2008

Classifier of BOLD signals from active and inactive brain states using FCM clustering and evolutionary algorithms.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori

Proceedings of the FUZZ-IEEE 2008, 2008

FCM-type switching regression with alternating least squares method.

Katsuhiro Honda, Takahiro Ohyama, Hidetomo Ichihashi, Akira Notsu

Proceedings of the FUZZ-IEEE 2008, 2008

Linear fuzzy clustering of relational data based on extended Fuzzy c-Medoids.

Naoki Haga, Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu

Proceedings of the FUZZ-IEEE 2008, 2008

Agent-based social simulation based on cognitive economic efficiency.

Yu Yamamoto, Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables.

Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi, Akira Notsu

Proceedings of the FUZZ-IEEE 2007, 2007

Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Yagi

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006

Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance.

Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda

Proceedings of the IEEE International Conference on Systems, 2006

A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering.

Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu

Proceedings of the IEEE International Conference on Systems, 2006

Postsupervised Hard <i>c</i>-Means Classifier.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu

Proceedings of the Rough Sets and Current Trends in Computing, 2006

Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering.

Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta

Proceedings of the Rough Sets and Current Trends in Computing, 2006

Exploratory Approach to fMRI Study with Fuzzy Clustering and General Linear Model.

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Kurokawa

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Simultaneous Application of PLS Regression and FCM-type Clustering.

Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2001

A Framework of Caring Interaction by a Network Model of Client's Concepts Based on a Nursing Theory and Naive Psychological Approaches.

Akira Notsu, Osamu Katai, Hiroshi Kawakami

Proceedings of the Active Media Technology, 6th International Computer Science Conference, 2001