Hidetomo Ichihashi

According to our database, Hidetomo Ichihashi authored at least 133 papers between 1989 and 2014.

Collaborative distances:

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

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

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

Obituary.

Masahiro Inuiguchi, Hidetomo Ichihashi

Fuzzy Sets Syst., 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

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

Mai Muranishi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi

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

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

A fuzzy model-based community simulator for behavior analysis in virtual theme park.

Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the FUZZ-IEEE 2009, 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 new approach to robust k-Means clustering based on fuzzy principal component analysis.

Katsuhiro Honda, Hiromichi Araki, Tomohiro Matsui, Hidetomo Ichihashi

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

Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda

Studies in Fuzziness and Soft Computing 229, Springer, ISBN: 978-3-540-78736-5, 2008

2007

Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach.

Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta

IEEE Trans. Fuzzy Syst., 2007

Quantification of Multivariate Categorical Data Considering Typicality of Item.

Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2007

FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification.

Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2007

A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights.

Katsuhiro Honda, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2007

Spatiotemporal brain activities in recalling sentence by loci mnemonic system.

Takahiro Yamanoi, Hisashi Toyoshima, Hidetomo Ichihashi

Proceedings of the IEEE International Conference on Systems, 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

Fuzzy c-Means Classifier for Relational Data.

Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, Fumiaki Matsuura

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Post-supervised Fuzzy c-Means Classifier with Hard Clustering.

Hidetomo Ichihashi, Katsuhiro Honda, Naho Kuwamoto, Takao Hattori

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases.

Katsuhiro Honda, Hidetomo Ichihashi

Int. J. Approx. Reason., 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

Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling.

Ryo Uesugi, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis.

Tatsuya Maenaka, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the IEEE International Conference on Fuzzy Systems, 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

Regularized Discriminant in the Setting of Fuzzy c-Means Classifier.

Hidetomo Ichihashi, Katsuhiro Honda, Takao Hattori

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

2005

Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models.

Katsuhiro Honda, Hidetomo Ichihashi

IEEE Trans. Fuzzy Syst., 2005

Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals.

Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the Modeling Decisions for Artificial Intelligence, 2005

A New Approach to Fuzzification of Memberships in Cluster Analysis.

Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the Modeling Decisions for Artificial Intelligence, 2005

Robust PCA with Intra-Sample Outlier Process Based on Fuzzy Mahalanobis Distances and Noise Clustering.

Hidetomo Ichihashi, Katsuhiro Honda, Noboru Wakami

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

FCM Clustering from the View Point of Iteratively Reweighted Least Squares.

Hidetomo Ichihashi, Katsuhiro Honda

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering.

Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values.

Hidetomo Ichihashi, Katsuhiro Honda

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004

Linear fuzzy clustering techniques with missing values and their application to local principal component analysis.

Katsuhiro Honda, Hidetomo Ichihashi

IEEE Trans. Fuzzy Syst., 2004

Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information.

Hidetomo Ichihashi, Katsuhiro Honda

J. Adv. Comput. Intell. Intell. Informatics, 2004

Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data.

Katsuhiro Honda, Yoshihito Nakamura, Hidetomo Ichihashi

J. Adv. Comput. Intell. Intell. Informatics, 2004

Component-wise robust linear fuzzy clustering for collaborative filtering.

Katsuhiro Honda, Hidetomo Ichihashi

Int. J. Approx. Reason., 2004

Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics.

Hidetomo Ichihashi, Katsuhiro Honda, Shoichi Araki

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

On parameter setting in applying Dave's noise fuzzy clustering to Gaussian mixture models.

Hidetomo Ichihashi, Katsuhiro Honda

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Detection of local linear structure from data with uncertainties.

Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2002

Linear fuzzy clustering based on least absolute deviations.

Katsuhiro Honda, Nobuhiro Togo, Taro Fujii, Hidetomo Ichihashi

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy.

Hidetomo Ichihashi, Katsuhiro Honda

Proceedings of the FSDK'02, 2002

2001

Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering.

Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi, Shoichi Araki

Proceedings of the Web Intelligence: Research and Development, 2001

Optimistic Priority Weights with an Interval Comparison Matrix.

Tomoe Entani, Hidetomo Ichihashi, Hideo Tanaka

Proceedings of the New Frontiers in Artificial Intelligence, 2001

Fuzzy C-Means Clustering With Regularization by K-L Information.

Hidetomo Ichihashi, Kiyotaka Miyagishi, Katsuhiro Honda

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Analytic Hierarchy Process Based on Interval Analysis.

Tomoe Entani, Hidetomo Ichihashi, Kazutomi Sugihara, Hideo Tanaka

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000

Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables.

Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Parameter Specification for Fuzzy Clustering by Q-Learning.

Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Fuzzy projection pursuit density estimation by eigenvalue method.

Tetsuya Miyoshi, Hidetomo Ichihashi, Kazunori Nagasaka

Int. J. Approx. Reason., 1999

Simultaneous application of clustering and correspondence analysis.

Asuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi

Proceedings of the International Joint Conference Neural Networks, 1999

Simultaneous approach to fuzzy cluster, principal component and multiple regression analysis.

Asuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi

Proceedings of the International Joint Conference Neural Networks, 1999

LVQ-FCV for missing value estimation and pattern classification.

Eriko Ikeda, Hidetomo Ichihashi, Kazunori Nagasaka, Tetsuya Miyoshi

Proceedings of the International Joint Conference Neural Networks, 1999

Nonlinear component analysis by fuzzy clustering and multidimensional scaling methods.

Eriko Ikeda, Toshio Imaoka, Hidetomo Ichihashi, Tetsuya Miyoshi

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH.

Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka

Inf. Sci., 1998

Neurofuzzy Cognitive Maps with Adaptive B-Splines.

Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi

Inf. Sci., 1998

A pointing device using coordinate transformation of neurofuzzy GMDH.

Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, N. Tani

Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

Structural learning of neurofuzzy GMDH with Minkowski norm.

Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, Y. Kanaumi

Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

1996

Neuro-fuzzy ID3: a method of inducing fuzzy decision trees with linear programming for maximizing entropy and an algebraic method for incremental learning.

Hidetomo Ichihashi, T. Shirai, Kazunori Nagasaka, Tetsuya Miyoshi

Fuzzy Sets Syst., 1996

1995

A neurofuzzy approach to variational problems by using Gaussian membership functions.

Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, M. Tokunaga, T. Wakamatsu

Int. J. Approx. Reason., 1995

A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty.

Y. Tachibana, G. H. Lee, Hidetomo Ichihashi, Tetsuya Miyoshi

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Neuro-fuzzy projection pursuit regression.

Tetsuya Miyoshi, Keisuke Nakao, Hidetomo Ichihashi, Kazunori Nagasaka

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Learning chaotic dynamics in recurrent RBF network.

Tetsuya Miyoshi, Hidetomo Ichihashi, S. Okamoto, T. Hayakawa

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1993

Modality constrained programming problems: A unified approach to fuzzy mathematical programming problems in the setting of possibility theory.

Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume

Inf. Sci., 1993

Maximum Entropy Algorithms for Uncertainty Measures.

Yoichiro Maeda, Hung T. Nguyen, Hidetomo Ichihashi

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1993

A neuro-fuzzy approach to data analysis of pairwise comparisons.

Hidetomo Ichihashi, I. Burhan Türksen

Int. J. Approx. Reason., 1993

A neuro-fuzzy approach with pairwise comparisons.

Hidetomo Ichihashi, I. Burhan Türksen

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Neuro-fuzzy optimal control of backing up a trailer truck.

Hidetomo Ichihashi, M. Tokunaga

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Fuzzy and semi-infinite mathematical programming.

M. K. Luhandjula, Hidetomo Ichihashi, Masahiro Inuiguchi

Inf. Sci., 1992

Some properties of extended fuzzy preference relations using modalities.

Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume

Inf. Sci., 1992

1989

Possibilistic Linear Programming with Measurable Multiattribute Value Functions.

Masahiro Inuiguchi, Hidetomo Ichihashi, Hideo Tanaka

INFORMS J. Comput., 1989

Jeffrey-like rules of conditioning for the Dempster-Shafer theory of evidence.

Hidetomo Ichihashi, Hideo Tanaka

Int. J. Approx. Reason., 1989