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)

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)

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

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)

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)

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)

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)

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

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)

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)

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)

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

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)

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)

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)

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)

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)

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 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 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)

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)

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

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

A Study on Clustering Unweighted Network Data and Its Evaluation Using Cluster Validity Measure. - Daiki Kobayashi; Yukihiro Hamasuna (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)

k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence. - Yukihiro Hamasuna; Yuto Kingetsu; Shusuke Nakano (MDAI, 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)

Controlled-Sized Clustering for Time-Series Data. - Nobuhiko Tsuda; Yukihiro Hamasuna (SCIS/ISIS, 2020)

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

Jensen-Shannon Divergence-Based k-Medoids Clustering. - Yuto Kingetsu; Yukihiro Hamasuna (J. Adv. Comput. Intell. Intell. Informatics, 2021)

The relationship between Gaussian process based c-regression models and kernel c-regression models. - Yukihiro Hamasuna; Yuya Yokoyama; Kaito Takegawa (SCIS/ISIS, 2022)

A Novel Noise Clustering Based on Local Outlier Factor. - Yukihiro Hamasuna; Yoshitomo Mori (IUKM (2), 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)

Gaussian Process Based Sequential Regression Models. - Kaito Takegawa; Yuya Yokoyama; Yukihiro Hamasuna (IJCNN, 2024)

Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor. - Yukihiro Hamasuna; Yoshitomo Mori (MDAI, 2024)