| 2024 | MDAI | On Objective-Based Clustering from the Perspective of Transportation Problem. | Yasunori Endo, Kazuki Mori |
| 2021 | MDAI | Network Clustering with Controlled Node Size. | Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo |
| 2018 | MDAI | Optimal Clustering with Twofold Memberships. | Sadaaki Miyamoto, Jong Moon Choi, Yasunori Endo, Van-Nam Huynh |
| 2017 | IFSA | Hierarchical clustering algorithms with automatic estimation of the number of clusters. | Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna |
| 2017 | IFSA | Controlled-sized clustering based on optimization. | Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita |
| 2017 | IFSA | A study on cluster validity measures for clustering network data. | Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo |
| 2017 | MDAI | On Cell Detection System with User Interaction. | Yoshitaka Maeda, Yasunori Endo, Sho Sanami |
| 2017 | SMC | Agglomerative hierarchical clustering based on local optimization for cluster validity measures. | Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo |
| 2016 | MDAI | On Various Types of Even-Sized Clustering Based on Optimization. | Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna |
| 2015 | EUSFLAT | Hard and Fuzzy c-Medoids for Asymmetric Networks. | Yousuke Kaizu, Sadaaki Miyamoto, Yasunori Endo |
| 2015 | MDAI | Spherical k-Means++ Clustering. | Yasunori Endo, Sadaaki Miyamoto |
| 2014 | GRC | On new sequential hard c-means and its kernelization. | Yukihiro Hamasuna, Yasunori Endo |
| 2014 | GRC | On linguistic-based clustering. | Akira Sugawara, Naohiko Kinoshita, Yasunori Endo |
| 2014 | MDAI | Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms. | Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna |
| 2014 | MDAI | Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term. | Yukihiro Hamasuna, Yasunori Endo |
| 2014 | MDAI | A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation. | Ken Onishi, Naohiko Kinoshita, Yasunori Endo |
| 2013 | MDAI | Rough c-Regression Based on Optimization of Objective Function. | Yasunori Endo, Akira Sugawara, Naohiko Kinoshita |
| 2013 | MDAI | On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model. | Yukihiro Hamasuna, Yasunori Endo |
| 2013 | SMC | Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering. | Yukihiro Hamasuna, Yasunori Endo |
| 2012 | GRC | On objective-based rough c-means clustering. | Yasunori Endo, Naohiko Kinoshita |
| 2012 | MDAI | On Rough Set Based Non Metric Model. | Yasunori Endo, Ayako Heki, Yukihiro Hamasuna |
| 2011 | GRC | On principal component analysis for data with tolerance. | Yasunori Endo, Tatsuyoshi Tsuji, Yukihiro Hamasuna, Kouta Kurihara |
| 2011 | GRC | On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria. | Yukihiro Hamasuna, Yasunori Endo |
| 2011 | GRC | Fuzzy c-means clustering for data with tolerance using cosine correlation. | Aoi Takahashi, Yasunori Endo, Sadaaki Miyamoto |
| 2011 | ISDA | Hard and fuzzy c-means clustering with mutual relation constraints. | Yasunori Endo, Yukihiro Hamasuna |
| 2011 | KES | Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms. | Yasunori Endo, Yukihiro Hamasuna |
| 2011 | MDAI | On Hard | Yasunori Endo, Arisa Taniguchi, Aoi Takahashi, Yukihiro Hamasuna |
| 2011 | MDAI | Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
| 2010 | GRC | Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
| 2010 | MDAI | Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
| 2010 | MDAI | Indefinite Kernel Fuzzy | Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto |
| 2009 | EUSFLAT | On Tolerant Fuzzy c-Means Clustering with L1-Regularization. | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
| 2009 | EUSFLAT | Fuzzy c-Lines for Data with Tolerance. | Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto |
| 2009 | GRC | On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. | Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto |
| 2009 | GRC | Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
| 2009 | MDAI | Some Pairwise Constrained Semi-Supervised Fuzzy | Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto |
| 2008 | GRC | On Tolerant Entropy Regularized Fuzzy C-means. | Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro |
| 2008 | GRC | Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function. | Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto |
| 2008 | MDAI | Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function. | Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto |
| 2007 | GRC | Agglomerative Hierarchical Clustering for Data with Tolerance. | Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto |
| 2007 | MDAI | Fuzzy | Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto |
| 2006 | MDAI | On Fuzzy | Ryuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto |
| 2005 | MDAI | 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 |
| 2005 | MDAI | Dynamic Clustering Based on Universal Gravitation Model. | Yasunori Endo, Hayato Iwata |
| 2005 | SMC | Classification and clustering of information objects based on fuzzy neighborhood system. | Sadaaki Miyamoto, Yasunori Endo, Satoshi Hayakawa, Erina Kataoka |