Yasunori Endo

According to our database, Yasunori Endo authored at least 128 papers between 2004 and 2024.

Collaborative distances:

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

2024

On Objective-Based Clustering from the Perspective of Transportation Problem.

Yasunori Endo, Kazuki Mori

Proceedings of the Modeling Decisions for Artificial Intelligence, 2024

2023

On hard c-means with cluster radius that makes the cluster partition homotopy equivalent to weighted $$\alpha$$-complex.

Yasunori Endo, Kanata Hoshino, Yukihiro Hamasuna

J. Ambient Intell. Humaniz. Comput., 2023

2021

Network Clustering with Controlled Node Size.

Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2020

Fuzzy c-Means with Improved Particle Swarm Optimization.

Jie Li, Yasunori Endo

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

2019

Kernel Fuzzy <i>c</i>-Regression Based on Least Absolute Deviation with Modified Huber Function.

Yusuke Oi, Yasunori Endo

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

Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data.

Yukihiro Hamasuna, Shusuke Nakano, Ryo Ozaki, Yasunori Endo

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

2018

Fuzzified Even-Sized Clustering Based on Optimization.

Kei Kitajima, Yasunori Endo, Yukihiro Hamasuna

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

Two-Stage Clustering Based on Cluster Validity Measures.

Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo

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

Cluster Validity Measures for Network Data.

Yukihiro Hamasuna, Daiki Kobayashi, Ryo Ozaki, Yasunori Endo

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

Even-Sized Clustering Based on Optimization and its Variants.

Yasunori Endo, Yukihiro Hamasuna, Tsubasa Hirano, Naohiko Kinoshita

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

A Study on Controlled Node Sized Network Clustering for Unweighted Network Data.

Shusuke Nakano, Yukihiro Hamasuna, Yasunori Endo

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

Even-Sized Clustering with Noise Clustering Method.

Kei Kitajima, Yasunori Endo

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

On Linear Clustering with Constraints on Cluster Size.

Naoya Kimoto, Yasunori Endo

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

A Note on Brake System of Train Set with Wheel Slide Protection System.

Yuya Kanazawa, Yasunori Endo, Shin-ichi Nakazawa, Daisuke Hijikata

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

Optimal Clustering with Twofold Memberships.

Sadaaki Miyamoto, Jong Moon Choi, Yasunori Endo, Van-Nam Huynh

Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

2017

Agglomerative hierarchical clustering based on local optimization for cluster validity measures.

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

On Cell Detection System with User Interaction.

Yoshitaka Maeda, Yasunori Endo, Sho Sanami

Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

A study on cluster validity measures for clustering network data.

Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo

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

Controlled-sized clustering based on optimization.

Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita

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

Hierarchical clustering algorithms with automatic estimation of the number of clusters.

Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna

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

On various types of controlled-sized clustering based on optimization.

Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita, Yukihiro Hamasuna

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

On Some Clustering Algorithms Based on Tolerance.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

Various Types of Objective-Based Rough Clustering.

Yasunori Endo, Naohiko Kinoshita

Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

2016

Fuzzy <i>c</i>-Regression Models for Fuzzy Numbers on a Graph.

Tatsuya Higuchi, Sadaaki Miyamoto, Yasunori Endo

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

Comparison of Cluster Validity Measures Based <i>x</i>-Means.

Yukihiro Hamasuna, Naohiko Kinoshita, Yasunori Endo

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

On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering.

Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna

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

A Method of Two-Stage Clustering Based on Cluster Validity Measures.

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo

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

Hierarchical and Non-Hierarchical Medoid Clustering Using Asymmetric Similarity Measures.

Sadaaki Miyamoto, Yousuke Kaizu, Yasunori Endo

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 Note on Even-Sized Clustering Based on Optimization.

Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Sadaaki Miyamoto

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

On Kernelized Sequential Hard Clustering.

Yukihiro Hamasuna, Yasunori Endo

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

On Various Types of Even-Sized Clustering Based on Optimization.

Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna

Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

Generalizations of Fuzzy c-Means and Fuzzy Classifiers.

Sadaaki Miyamoto, Yoshiyuki Komazaki, Yasunori Endo

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

2015

Semi-Supervised Sequential Kernel Regression Models with Penalty Functions.

Hengjin Tang, Sadaaki Miyamoto, Yasunori Endo

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

On Objective-Based Rough c-Regression.

Akira Sugawara, Yasunori Endo, Naohiko Kinoshita

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

On Estimation of Tangential Force in Railways Brake Systems by Fuzzy Inference.

Toru Sano, Yasunori Endo, Shin-ichi Nakazawa, Daisuke Hijikata

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

On Hierarchical Linguistic-Based Clustering.

Naohiko Kinoshita, Yasunori Endo, Akira Sugawara

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

On Objective-Based Rough Clustering with Fuzzy-Set Representation.

Naohiko Kinoshita, Yasunori Endo, Ken Onishi

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

Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data.

Naohiko Kinoshita, Yasunori Endo, Yukihiro Hamasuna

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

On Objective-Based Rough Hard and Fuzzy c-Means Clustering.

Naohiko Kinoshita, Yasunori Endo

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

On a Family of New Sequential Hard Clustering.

Yukihiro Hamasuna, Yasunori Endo

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

On Sequential Cluster Extraction Based on L1-Regularized Possibilistic c-Means.

Yukihiro Hamasuna, Yasunori Endo

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

On Cluster Extraction from Relational Data Using L1-Regularized Possibilistic Assignment Prototype Algorithm.

Yukihiro Hamasuna, Yasunori Endo

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

Ward method of hierarchical clustering for non-Euclidean similarity measures.

Sadaaki Miyamoto, Ryosuke Abe, Yasunori Endo, Jun-ichi Takeshita

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

Spherical k-Means++ Clustering.

Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering.

Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna, Sadaaki Miyamoto

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Hard and Fuzzy c-Medoids for Asymmetric Networks.

Yousuke Kaizu, Sadaaki Miyamoto, Yasunori Endo

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

On Some Models of Objective-Based Rough Clustering.

Naohiko Kinoshita, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

On even-sized clustering algorithm based on optimization.

Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Yukihiro Hamasuna

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

On new sequential hard c-medoids.

Yukihiro Hamasuna, Yasunori Endo

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 Note on Objective-Based Rough Clustering with Fuzzy-Set Representation.

Ken Onishi, Naohiko Kinoshita, Yasunori Endo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms.

Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna

Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

On linguistic-based clustering.

Akira Sugawara, Naohiko Kinoshita, Yasunori Endo

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

On new sequential hard c-means and its kernelization.

Yukihiro Hamasuna, Yasunori Endo

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

2013

On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria.

Yukihiro Hamasuna, Yasunori Endo

Soft Comput., 2013

Non Metric Model Based on Rough Set Representation.

Yasunori Endo, Ayako Heki, Yukihiro Hamasuna

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

Objective-Based Rough c-Means Clustering.

Yasunori Endo, Naohiko Kinoshita

Int. J. Intell. Syst., 2013

Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the IEEE International Conference on Systems, 2013

On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

Rough c-Regression Based on Optimization of Objective Function.

Yasunori Endo, Akira Sugawara, Naohiko Kinoshita

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

EM-Based Clustering Algorithm for Uncertain Data.

Naohiko Kinoshita, Yasunori Endo

Proceedings of the Knowledge and Systems Engineering, 2013

On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the Knowledge and Systems Engineering, 2013

2012

Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2012

On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2012

On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2012

Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance.

Yukihiro Hamasuna, Yasunori Endo

J. Adv. Comput. Intell. Intell. Informatics, 2012

Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data.

Yasunori Endo, Arisa Taniguchi, Yukihiro Hamasuna

J. Adv. Comput. Intell. Intell. Informatics, 2012

On Entropy Based Fuzzy Non Metric Model ? Proposal, Kernelization and Pairwise Constraints ?.

Yasunori Endo

J. Adv. Comput. Intell. Intell. Informatics, 2012

Rough set based non metric model.

Ayako Heki, Yasunori Endo, Sadaaki Miyamoto

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

On sparse possibilistic clustering with crispness - Classification function and sequential extraction.

Yukihiro Hamasuna, Yasunori Endo

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

On Rough Set Based Non Metric Model.

Yasunori Endo, Ayako Heki, Yukihiro Hamasuna

Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

On FNM-based and RFCM-based fuzzy co-clustering algorithms.

Yuchi Kanzawa, Yasunori Endo

Proceedings of the FUZZ-IEEE 2012, 2012

2011

Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

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

KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

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

Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

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

Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization.

Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Yuchi Kanzawa

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

Computationally intensive parameter selection for clustering algorithms: The case of fuzzy <i>c</i>-means with tolerance.

Vicenç Torra, Yasunori Endo, Sadaaki Miyamoto

Int. J. Intell. Syst., 2011

Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

On Hard <i>c</i>-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data.

Yasunori Endo, Arisa Taniguchi, Aoi Takahashi, Yukihiro Hamasuna

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms.

Yasunori Endo, Yukihiro Hamasuna

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

Hard and fuzzy c-means clustering with mutual relation constraints.

Yasunori Endo, Yukihiro Hamasuna

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Fuzzy c-means clustering for data with tolerance using cosine correlation.

Aoi Takahashi, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

On principal component analysis for data with tolerance.

Yasunori Endo, Tatsuyoshi Tsuji, Yukihiro Hamasuna, Kouta Kurihara

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2011, 2011

Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings.

Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2011, 2011

2010

Container loading for nonorthogonal objects: an approximation using local search and simulated annealing.

Vicenç Torra, Isaac Cano, Sadaaki Miyamoto, Yasunori Endo

Soft Comput., 2010

On tolerant fuzzy <i>c</i>-means clustering and tolerant possibilistic clustering.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Soft Comput., 2010

Indefinite Kernel Fuzzy <i>c</i>-Means Clustering Algorithms.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Cluster validity measures for data with tolerance.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2010, 2010

Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables.

Yasunori Endo, Kouta Kurihara, Sadaaki Miyamoto, Yukihiro Hamasuna

Proceedings of the FUZZ-IEEE 2010, 2010

2009

On the Comparison of Some Fuzzy Clustering Methods for Privacy Preserving Data Mining: Towards the Development of Specific Information Loss Measures.

Vicenç Torra, Yasunori Endo, Sadaaki Miyamoto

Kybernetika, 2009

Clustering Algorithm Based on Probabilistic Dissimilarity.

Makito Yamashiro, Yasunori Endo, Yukihiro Hamasuna

J. Adv. Comput. Intell. Intell. Informatics, 2009

On Tolerant Fuzzy c -Means Clustering.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2009

Some Pairwise Constrained Semi-Supervised Fuzzy <i>c</i>-Means Clustering Algorithms.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors.

Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Entropy regularized fuzzy C-lines for data with tolerance.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2009, 2009

On L1-Norm based tolerant fuzzy c-Means clustering.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2009, 2009

On semi-supervised fuzzy c-means clustering.

Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2009, 2009

Fuzzy c-Lines for Data with Tolerance.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

On Tolerant Fuzzy c-Means Clustering with L1-Regularization.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008

Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range.

Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2008

Fuzzy <i>c</i>-Means Algorithms for Data with Tolerance Using Kernel Functions.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2008

Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

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

On Tolerant Entropy Regularized Fuzzy C-means.

Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro

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

On intuitionistic fuzzy clustering for its application to privacy.

Vicenç Torra, Sadaaki Miyamoto, Yasunori Endo, Josep Domingo-Ferrer

Proceedings of the FUZZ-IEEE 2008, 2008

Fuzzy classification function of fuzzy c-means algorithms for data with tolerance.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2008, 2008

Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2008, 2008

2007

Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization.

Sadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna

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

Fuzzy <i>c</i>-Means Algorithms for Data with Tolerance Based on Opposite Criterions.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

Fuzzy <i>c</i> -Means for Data with Tolerance Defined as Hyper-Rectangle.

Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2007

Agglomerative Hierarchical Clustering for Data with Tolerance.

Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Two Clustering Algorithms for Data with Tolerance based on Hard c-Means.

Yukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2007, 2007

2006

On Fuzzy c-Means for Data with Tolerance.

Ryuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2006

On Fuzzy <i>c</i>-Means for Data with Tolerance.

Ryuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

Fuzzy K-nearest Neighbor and its Application to Recognize of the Driving Environment.

Koji Toduka, Yasunori Endo

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

L₁-Norm based Fuzzy Clustering for Data with Tolerance.

Yasunori Endo, Ryuichi Murata, Hiromi Toyoda, Sadaaki Miyamoto

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005

Classification and clustering of information objects based on fuzzy neighborhood system.

Sadaaki Miyamoto, Yasunori Endo, Satoshi Hayakawa, Erina Kataoka

Proceedings of the IEEE International Conference on Systems, 2005

Dynamic Clustering Based on Universal Gravitation Model.

Yasunori Endo, Hayato Iwata

Proceedings of the Modeling Decisions for Artificial Intelligence, 2005

Evaluation of Control Performance of Multi-stage Fuzzy Reasoning in Anti-lock Braking System for Railways Using Fuzzy Reasoning.

Tetsuya Asanome, Toshiaki Nonaka, Yasunori Endo, Shin-ichi Nakazawa, Hiroshi Yoshikawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2005

On Dynamic Clustering and Two Options.

Yasunori Endo, Hayato Iwata

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004

Risk analysis of fuzzy control systems with (<i>n</i>+1)-inputs and 1-output FLC.

Yasunori Endo, Kazuo Horiuchi

Fuzzy Sets Syst., 2004

On some hierarchical clustering algorithms using kernel functions.

Yasunori Endo, Hideyuki Haruyama, Takayoshi Okubo

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004