Yukihiro Hamasuna

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Cluster Validity

Data Clustering

Density Estimation

Pairwise Constraints

Top Venues

J. Adv. Comput. Intell. Intell. Informatics

Publications

Yukihiro Hamasuna, Yoshitomo Mori
Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor. MDAI (2024)
Yukihiro Hamasuna, Yoshitomo Mori
A Novel Noise Clustering Based on Local Outlier Factor. IUKM (2) (2023)
Yasunori Endo, Kanata Hoshino, Yukihiro Hamasuna
On hard c-means with cluster radius that makes the cluster partition homotopy equivalent to weighted $$\alpha$$-complex. J. Ambient Intell. Humaniz. Comput. 14 (11) (2023)
Yukihiro Hamasuna, Yuya Yokoyama, Kaito Takegawa
The relationship between Gaussian process based c-regression models and kernel c-regression models. SCIS/ISIS (2022)
Yuto Kingetsu, Yukihiro Hamasuna
-Medoids Clustering. J. Adv. Comput. Intell. Intell. Informatics 25 (2) (2021)
Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo
Network Clustering with Controlled Node Size. MDAI (2021)
Nobuhiko Tsuda, Yukihiro Hamasuna
Controlled-Sized Clustering for Time-Series Data. SCIS/ISIS (2020)
Yukihiro Hamasuna, Shusuke Nakano, Ryo Ozaki, Yasunori Endo
Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data. J. Adv. Comput. Intell. Intell. Informatics 23 (3) (2019)
Yukihiro Hamasuna, Yuto Kingetsu, Shusuke Nakano
k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence. MDAI (2019)
Daiki Kobayashi, Yukihiro Hamasuna
A Study on Clustering Unweighted Network Data and Its Evaluation Using Cluster Validity Measure. SCIS&ISIS (2018)
Yukihiro Hamasuna, Daiki Kobayashi, Ryo Ozaki, Yasunori Endo
Cluster Validity Measures for Network Data. J. Adv. Comput. Intell. Intell. Informatics 22 (4) (2018)
Yasunori Endo, Yukihiro Hamasuna, Tsubasa Hirano, Naohiko Kinoshita
Even-Sized Clustering Based on Optimization and its Variants. J. Adv. Comput. Intell. Intell. Informatics 22 (1) (2018)
Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo
Two-Stage Clustering Based on Cluster Validity Measures. J. Adv. Comput. Intell. Intell. Informatics 22 (1) (2018)
Shusuke Nakano, Yukihiro Hamasuna, Yasunori Endo
A Study on Controlled Node Sized Network Clustering for Unweighted Network Data. SCIS&ISIS (2018)
Kei Kitajima, Yasunori Endo, Yukihiro Hamasuna
Fuzzified Even-Sized Clustering Based on Optimization. J. Adv. Comput. Intell. Intell. Informatics 22 (4) (2018)
Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita, Yukihiro Hamasuna
On various types of controlled-sized clustering based on optimization. FUZZ-IEEE (2017)
Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna
Hierarchical clustering algorithms with automatic estimation of the number of clusters. IFSA-SCIS (2017)
Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo
Agglomerative hierarchical clustering based on local optimization for cluster validity measures. SMC (2017)
Yukihiro Hamasuna, Yasunori Endo
On Some Clustering Algorithms Based on Tolerance. Fuzzy Sets, Rough Sets, Multisets and Clustering (2017)
Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo
A study on cluster validity measures for clustering network data. IFSA-SCIS (2017)
Yukihiro Hamasuna, Yasunori Endo
On Kernelized Sequential Hard Clustering. SCIS&ISIS (2016)
Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo
A Method of Two-Stage Clustering Based on Cluster Validity Measures. SCIS&ISIS (2016)
Yukihiro Hamasuna, Naohiko Kinoshita, Yasunori Endo
-Means. J. Adv. Comput. Intell. Intell. Informatics 20 (5) (2016)
Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna
On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering. J. Adv. Comput. Intell. Intell. Informatics 20 (4) (2016)
Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna
On Various Types of Even-Sized Clustering Based on Optimization. MDAI (2016)
Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna, Sadaaki Miyamoto
Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering. FUZZ-IEEE (2015)
Yukihiro Hamasuna, Yasunori Endo
On a Family of New Sequential Hard Clustering. J. Adv. Comput. Intell. Intell. Informatics 19 (6) (2015)
Naohiko Kinoshita, Yasunori Endo, Yukihiro Hamasuna
Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data. J. Adv. Comput. Intell. Intell. Informatics 19 (5) (2015)
Yukihiro Hamasuna, Yasunori Endo
On Cluster Extraction from Relational Data Using L1-Regularized Possibilistic Assignment Prototype Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19 (1) (2015)
Yukihiro Hamasuna, Yasunori Endo
On Sequential Cluster Extraction Based on L1-Regularized Possibilistic c-Means. J. Adv. Comput. Intell. Intell. Informatics 19 (5) (2015)
Yukihiro Hamasuna, Yasunori Endo
On new sequential hard c-means and its kernelization. GrC (2014)
Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Yukihiro Hamasuna
On even-sized clustering algorithm based on optimization. SCIS&ISIS (2014)
Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna
Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms. MDAI (2014)
Yukihiro Hamasuna, Yasunori Endo
Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term. MDAI (2014)
Yukihiro Hamasuna, Yasunori Endo
On new sequential hard c-medoids. SCIS&ISIS (2014)
Yasunori Endo, Ayako Heki, Yukihiro Hamasuna
Non Metric Model Based on Rough Set Representation. J. Adv. Comput. Intell. Intell. Informatics 17 (4) (2013)
Yukihiro Hamasuna, Yasunori Endo
On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model. MDAI (2013)
Yukihiro Hamasuna, Yasunori Endo
Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering. SMC (2013)
Yukihiro Hamasuna, Yasunori Endo
On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria. Soft Comput. 17 (1) (2013)
Yukihiro Hamasuna, Yasunori Endo
On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering. KSE (2) (2013)
Yasunori Endo, Arisa Taniguchi, Yukihiro Hamasuna
Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. J. Adv. Comput. Intell. Intell. Informatics 16 (1) (2012)
Yukihiro Hamasuna, Yasunori Endo
Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Yasunori Endo, Ayako Heki, Yukihiro Hamasuna
On Rough Set Based Non Metric Model. MDAI (2012)
Yukihiro Hamasuna, Yasunori Endo
On sparse possibilistic clustering with crispness - Classification function and sequential extraction. SCIS&ISIS (2012)
Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto
Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings. FUZZ-IEEE (2011)
Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Yuchi Kanzawa
Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization. J. Adv. Comput. Intell. Intell. Informatics 15 (1) (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization. J. Adv. Comput. Intell. Intell. Informatics 15 (1) (2011)
Yasunori Endo, Yukihiro Hamasuna
Hard and fuzzy c-means clustering with mutual relation constraints. ISDA (2011)
Yasunori Endo, Yukihiro Hamasuna
Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms. KES (1) (2011)
Yukihiro Hamasuna, Yasunori Endo
On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria. GrC (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization. FUZZ-IEEE (2011)
Yasunori Endo, Arisa Taniguchi, Aoi Takahashi, Yukihiro Hamasuna
-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data. MDAI (2011)
Yasunori Endo, Tatsuyoshi Tsuji, Yukihiro Hamasuna, Kouta Kurihara
On principal component analysis for data with tolerance. GrC (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. MDAI (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. MDAI (2010)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
-means clustering and tolerant possibilistic clustering. Soft Comput. 14 (5) (2010)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Cluster validity measures for data with tolerance. FUZZ-IEEE (2010)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. GrC (2010)
Yasunori Endo, Kouta Kurihara, Sadaaki Miyamoto, Yukihiro Hamasuna
Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables. FUZZ-IEEE (2010)
Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto
On semi-supervised fuzzy c-means clustering. FUZZ-IEEE (2009)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. GrC (2009)
Makito Yamashiro, Yasunori Endo, Yukihiro Hamasuna
Clustering Algorithm Based on Probabilistic Dissimilarity. J. Adv. Comput. Intell. Intell. Informatics 13 (4) (2009)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On L1-Norm based tolerant fuzzy c-Means clustering. FUZZ-IEEE (2009)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On Tolerant Fuzzy c -Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 13 (4) (2009)
Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto
On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. GrC (2009)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On Tolerant Fuzzy c-Means Clustering with L1-Regularization. IFSA/EUSFLAT Conf. (2009)
Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro
On Tolerant Entropy Regularized Fuzzy C-means. GrC (2008)
Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto
Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range. J. Adv. Comput. Intell. Intell. Informatics 12 (5) (2008)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin. FUZZ-IEEE (2008)
Yukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto
Two Clustering Algorithms for Data with Tolerance based on Hard c-Means. FUZZ-IEEE (2007)
Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto
Agglomerative Hierarchical Clustering for Data with Tolerance. GrC (2007)
Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto
-Means for Data with Tolerance Defined as Hyper-Rectangle. MDAI (2007)
Sadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna
Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization. J. Adv. Comput. Intell. Intell. Informatics 11 (1) (2007)