On some hierarchical clustering algorithms using kernel functions. - Yasunori Endo; Hideyuki Haruyama; Takayoshi Okubo (FUZZ-IEEE, 2004)

Risk analysis of fuzzy control systems with (n+1)-inputs and 1-output FLC. - Yasunori Endo; Kazuo Horiuchi (Fuzzy Sets Syst., 2004)

On Dynamic Clustering and Two Options. - Yasunori Endo; Hayato Iwata (FUZZ-IEEE, 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 (MDAI, 2005)

Dynamic Clustering Based on Universal Gravitation Model. - Yasunori Endo; Hayato Iwata (MDAI, 2005)

Classification and clustering of information objects based on fuzzy neighborhood system. - Sadaaki Miyamoto; Yasunori Endo; Satoshi Hayakawa; Erina Kataoka (SMC, 2005)

L1-Norm based Fuzzy Clustering for Data with Tolerance. - Yasunori Endo; Ryuichi Murata; Hiromi Toyoda; Sadaaki Miyamoto (FUZZ-IEEE, 2006)

Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2006)

Fuzzy K-nearest Neighbor and its Application to Recognize of the Driving Environment. - Koji Toduka; Yasunori Endo (FUZZ-IEEE, 2006)

On Fuzzy c-Means for Data with Tolerance. - Ryuichi Murata; Yasunori Endo; Hideyuki Haruyama; Sadaaki Miyamoto (MDAI, 2006)

On Fuzzy c-Means for Data with Tolerance. - Ryuichi Murata; Yasunori Endo; Hideyuki Haruyama; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Two Clustering Algorithms for Data with Tolerance based on Hard c-Means. - Yukihiro Hamasuna; Yasunori Endo; Yasushi Hasegawa; Sadaaki Miyamoto (FUZZ-IEEE, 2007)

Agglomerative Hierarchical Clustering for Data with Tolerance. - Yasunori Endo; Yukihiro Hamasuna; Sadaaki Miyamoto (GrC, 2007)

Fuzzy c -Means for Data with Tolerance Defined as Hyper-Rectangle. - Yasushi Hasegawa; Yasunori Endo; Yukihiro Hamasuna; Sadaaki Miyamoto (MDAI, 2007)

Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 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)

Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2008)

Fuzzy classification function of fuzzy c-means algorithms for data with tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2008)

On intuitionistic fuzzy clustering for its application to privacy. - Vicenç Torra; Sadaaki Miyamoto; Yasunori Endo; Josep Domingo-Ferrer (FUZZ-IEEE, 2008)

On Tolerant Entropy Regularized Fuzzy C-means. - Yukihiro Hamasuna; Yasunori Endo; Makito Yamashiro (GrC, 2008)

Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (GrC, 2008)

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2008)

Fuzzy c-Means Algorithms for Data with Tolerance Using Kernel Functions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 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)

On Tolerant Fuzzy c-Means Clustering with L1-Regularization. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (IFSA/EUSFLAT Conf., 2009)

Fuzzy c-Lines for Data with Tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IFSA/EUSFLAT Conf., 2009)

On semi-supervised fuzzy c-means clustering. - Yasunori Endo; Yukihiro Hamasuna; Makito Yamashiro; Sadaaki Miyamoto (FUZZ-IEEE, 2009)

On L1-Norm based tolerant fuzzy c-Means clustering. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2009)

Entropy regularized fuzzy C-lines for data with tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2009)

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. - Yasunori Endo; Yukihiro Hamasuna; Yuchi Kanzawa; Sadaaki Miyamoto (GrC, 2009)

Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (GrC, 2009)

Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2009)

On Tolerant Fuzzy c -Means Clustering. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Clustering Algorithm Based on Probabilistic Dissimilarity. - Makito Yamashiro; Yasunori Endo; Yukihiro Hamasuna (J. Adv. Comput. Intell. Intell. Informatics, 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)

Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables. - Yasunori Endo; Kouta Kurihara; Sadaaki Miyamoto; Yukihiro Hamasuna (FUZZ-IEEE, 2010)

Cluster validity measures for data with tolerance. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2010)

Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (GrC, 2010)

Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2010)

Indefinite Kernel Fuzzy c-Means Clustering Algorithms. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2010)

On tolerant fuzzy c-means clustering and tolerant possibilistic clustering. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (Soft Comput., 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)

Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings. - Yasunori Endo; Isao Takayama; Yukihiro Hamasuna; Sadaaki Miyamoto (FUZZ-IEEE, 2011)

On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2011)

On principal component analysis for data with tolerance. - Yasunori Endo; Tatsuyoshi Tsuji; Yukihiro Hamasuna; Kouta Kurihara (GrC, 2011)

On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria. - Yukihiro Hamasuna; Yasunori Endo (GrC, 2011)

Fuzzy c-means clustering for data with tolerance using cosine correlation. - Aoi Takahashi; Yasunori Endo; Sadaaki Miyamoto (GrC, 2011)

Hard and fuzzy c-means clustering with mutual relation constraints. - Yasunori Endo; Yukihiro Hamasuna (ISDA, 2011)

Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms. - Yasunori Endo; Yukihiro Hamasuna (KES (1), 2011)

On Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data. - Yasunori Endo; Arisa Taniguchi; Aoi Takahashi; Yukihiro Hamasuna (MDAI, 2011)

Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2011)

Computationally intensive parameter selection for clustering algorithms: The case of fuzzy c-means with tolerance. - Vicenç Torra; Yasunori Endo; Sadaaki Miyamoto (Int. J. Intell. Syst., 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)

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)

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)

Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2011)

On FNM-based and RFCM-based fuzzy co-clustering algorithms. - Yuchi Kanzawa; Yasunori Endo (FUZZ-IEEE, 2012)

On Rough Set Based Non Metric Model. - Yasunori Endo; Ayako Heki; Yukihiro Hamasuna (MDAI, 2012)

On sparse possibilistic clustering with crispness - Classification function and sequential extraction. - Yukihiro Hamasuna; Yasunori Endo (SCIS&ISIS, 2012)

Rough set based non metric model. - Ayako Heki; Yasunori Endo; Sadaaki Miyamoto (SCIS&ISIS, 2012)

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

Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance. - Yukihiro Hamasuna; Yasunori Endo (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)

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)

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 Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering. - Yukihiro Hamasuna; Yasunori Endo (KSE (2), 2013)

EM-Based Clustering Algorithm for Uncertain Data. - Naohiko Kinoshita; Yasunori Endo (KSE (2), 2013)

Rough c-Regression Based on Optimization of Objective Function. - Yasunori Endo; Akira Sugawara; Naohiko Kinoshita (MDAI, 2013)

On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model. - Yukihiro Hamasuna; Yasunori Endo (MDAI, 2013)

Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering. - Yukihiro Hamasuna; Yasunori Endo (SMC, 2013)

Objective-Based Rough c-Means Clustering. - Yasunori Endo; Naohiko Kinoshita (Int. J. Intell. Syst., 2013)

Non Metric Model Based on Rough Set Representation. - Yasunori Endo; Ayako Heki; Yukihiro Hamasuna (J. Adv. Comput. Intell. Intell. Informatics, 2013)

On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria. - Yukihiro Hamasuna; Yasunori Endo (Soft Comput., 2013)

On new sequential hard c-means and its kernelization. - Yukihiro Hamasuna; Yasunori Endo (GrC, 2014)

On linguistic-based clustering. - Akira Sugawara; Naohiko Kinoshita; Yasunori Endo (GrC, 2014)

Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms. - Yasunori Endo; Naohiko Kinoshita; Kuniaki Iwakura; Yukihiro Hamasuna (MDAI, 2014)

Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term. - Yukihiro Hamasuna; Yasunori Endo (MDAI, 2014)

A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation. - Ken Onishi; Naohiko Kinoshita; Yasunori Endo (MDAI, 2014)

On new sequential hard c-medoids. - Yukihiro Hamasuna; Yasunori Endo (SCIS&ISIS, 2014)

On even-sized clustering algorithm based on optimization. - Tsubasa Hirano; Yasunori Endo; Naohiko Kinoshita; Yukihiro Hamasuna (SCIS&ISIS, 2014)

On Some Models of Objective-Based Rough Clustering. - Naohiko Kinoshita; Yasunori Endo; Sadaaki Miyamoto (WI-IAT (1), 2014)

Hard and Fuzzy c-Medoids for Asymmetric Networks. - Yousuke Kaizu; Sadaaki Miyamoto; Yasunori Endo (IFSA-EUSFLAT, 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 (FUZZ-IEEE, 2015)

Spherical k-Means++ Clustering. - Yasunori Endo; Sadaaki Miyamoto (MDAI, 2015)

Ward method of hierarchical clustering for non-Euclidean similarity measures. - Sadaaki Miyamoto; Ryosuke Abe; Yasunori Endo; Jun-ichi Takeshita (SoCPaR, 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)

On Sequential Cluster Extraction Based on L1-Regularized Possibilistic c-Means. - Yukihiro Hamasuna; 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 Objective-Based Rough Hard and Fuzzy c-Means Clustering. - Naohiko Kinoshita; Yasunori Endo (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 Clustering with Fuzzy-Set Representation. - Naohiko Kinoshita; Yasunori Endo; Ken Onishi (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 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 Objective-Based Rough c-Regression. - Akira Sugawara; Yasunori Endo; Naohiko Kinoshita (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Semi-Supervised Sequential Kernel Regression Models with Penalty Functions. - Hengjin Tang; Sadaaki Miyamoto; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Generalizations of Fuzzy c-Means and Fuzzy Classifiers. - Sadaaki Miyamoto; Yoshiyuki Komazaki; Yasunori Endo (IUKM, 2016)

On Various Types of Even-Sized Clustering Based on Optimization. - Yasunori Endo; Tsubasa Hirano; Naohiko Kinoshita; Yukihiro Hamasuna (MDAI, 2016)

On Kernelized Sequential Hard Clustering. - Yukihiro Hamasuna; Yasunori Endo (SCIS&ISIS, 2016)

A Note on Even-Sized Clustering Based on Optimization. - Tsubasa Hirano; Yasunori Endo; Naohiko Kinoshita; Sadaaki Miyamoto (SCIS&ISIS, 2016)

Hierarchical and Non-Hierarchical Medoid Clustering Using Asymmetric Similarity Measures. - Sadaaki Miyamoto; Yousuke Kaizu; Yasunori Endo (SCIS&ISIS, 2016)

A Method of Two-Stage Clustering Based on Cluster Validity Measures. - Ryo Ozaki; Yukihiro Hamasuna; Yasunori Endo (SCIS&ISIS, 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)

Comparison of Cluster Validity Measures Based x-Means. - Yukihiro Hamasuna; Naohiko Kinoshita; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2016)

Fuzzy c-Regression Models for Fuzzy Numbers on a Graph. - Tatsuya Higuchi; Sadaaki Miyamoto; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2016)

Various Types of Objective-Based Rough Clustering. - Yasunori Endo; Naohiko Kinoshita (Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017)

On Some Clustering Algorithms Based on Tolerance. - Yukihiro Hamasuna; Yasunori Endo (Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017)

On various types of controlled-sized clustering based on optimization. - Yasunori Endo; Sachiko Ishida; Naohiko Kinoshita; Yukihiro Hamasuna (FUZZ-IEEE, 2017)

Hierarchical clustering algorithms with automatic estimation of the number of clusters. - Ryosuke Abe; Sadaaki Miyamoto; Yasunori Endo; Yukihiro Hamasuna (IFSA-SCIS, 2017)

Controlled-sized clustering based on optimization. - Yasunori Endo; Sachiko Ishida; Naohiko Kinoshita (IFSA-SCIS, 2017)

A study on cluster validity measures for clustering network data. - Yukihiro Hamasuna; Ryo Ozaki; Yasunori Endo (IFSA-SCIS, 2017)

On Cell Detection System with User Interaction. - Yoshitaka Maeda; Yasunori Endo; Sho Sanami (MDAI, 2017)

Agglomerative hierarchical clustering based on local optimization for cluster validity measures. - Ryo Ozaki; Yukihiro Hamasuna; Yasunori Endo (SMC, 2017)

Optimal Clustering with Twofold Memberships. - Sadaaki Miyamoto; Jong Moon Choi; Yasunori Endo; Van-Nam Huynh (MDAI, 2018)

A Note on Brake System of Train Set with Wheel Slide Protection System. - Yuya Kanazawa; Yasunori Endo; Shin-ichi Nakazawa; Daisuke Hijikata (SCIS&ISIS, 2018)

On Linear Clustering with Constraints on Cluster Size. - Naoya Kimoto; Yasunori Endo (SCIS&ISIS, 2018)

Even-Sized Clustering with Noise Clustering Method. - Kei Kitajima; Yasunori Endo (SCIS&ISIS, 2018)

A Study on Controlled Node Sized Network Clustering for Unweighted Network Data. - Shusuke Nakano; Yukihiro Hamasuna; Yasunori Endo (SCIS&ISIS, 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)

Cluster Validity Measures for Network Data. - Yukihiro Hamasuna; Daiki Kobayashi; Ryo Ozaki; Yasunori Endo (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)

Fuzzified Even-Sized Clustering Based on Optimization. - Kei Kitajima; Yasunori Endo; Yukihiro Hamasuna (J. Adv. Comput. Intell. Intell. Informatics, 2018)

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)

Kernel Fuzzy c-Regression Based on Least Absolute Deviation with Modified Huber Function. - Yusuke Oi; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Fuzzy c-Means with Improved Particle Swarm Optimization. - Jie Li 002; Yasunori Endo (FUZZ-IEEE, 2020)

Network Clustering with Controlled Node Size. - Yukihiro Hamasuna; Shusuke Nakano; Yasunori Endo (MDAI, 2021)

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)

On Objective-Based Clustering from the Perspective of Transportation Problem. - Yasunori Endo; Kazuki Mori (MDAI, 2024)

On a New Rough Clustering Based on Optimization. - Sakuya Furuta; Yasunori Endo (SCIS/ISIS, 2024)

Whole Time-Series Clustering by Embedding Relational Graphs into Vector Spaces Using DeepWalk. - Koh Kumamoto; Yasunori Endo (SCIS/ISIS, 2024)

A Note on Even-Sized Spectral Clustering. - Hiroki Miyakawa; Yasunori Endo (SCIS/ISIS, 2024)