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ORCIDYukihiro Hamasuna
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2020 – today
- 2024
[c50]Kaito Takegawa, Yuya Yokoyama, Yukihiro Hamasuna:
Gaussian Process Based Sequential Regression Models. IJCNN 2024: 1-8- [c49]Yukihiro Hamasuna, Yoshitomo Mori:
Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor. MDAI 2024: 77-89 - 2023
- [j25]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): 14995-15002 (2023) - [c48]Yukihiro Hamasuna, Yoshitomo Mori:
A Novel Noise Clustering Based on Local Outlier Factor. IUKM (2) 2023: 179-191 - 2022
- [c47]Yukihiro Hamasuna, Yuya Yokoyama, Kaito Takegawa:
The relationship between Gaussian process based c-regression models and kernel c-regression models. SCIS/ISIS 2022: 1-4 - 2021
- [j24]Yuto Kingetsu, Yukihiro Hamasuna:
Jensen-Shannon Divergence-Based k-Medoids Clustering. J. Adv. Comput. Intell. Intell. Informatics 25(2): 226-233 (2021) - [c46]Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo:
Network Clustering with Controlled Node Size. MDAI 2021: 243-256 - 2020
- [c45]Nobuhiko Tsuda, Yukihiro Hamasuna:
Controlled-Sized Clustering for Time-Series Data. SCIS/ISIS 2020: 1-5
2010 – 2019
- 2019
- [j23]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): 577-583 (2019) - [c44]Yukihiro Hamasuna, Yuto Kingetsu, Shusuke Nakano:
k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence. MDAI 2019: 272-282 - 2018
- [j22]Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo:
Two-Stage Clustering Based on Cluster Validity Measures. J. Adv. Comput. Intell. Intell. Informatics 22(1): 54-61 (2018) - [j21]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): 62-69 (2018) - [j20]Kei Kitajima, Yasunori Endo, Yukihiro Hamasuna:
Fuzzified Even-Sized Clustering Based on Optimization. J. Adv. Comput. Intell. Intell. Informatics 22(4): 537-543 (2018) - [j19]Yukihiro Hamasuna, Daiki Kobayashi, Ryo Ozaki, Yasunori Endo:
Cluster Validity Measures for Network Data. J. Adv. Comput. Intell. Intell. Informatics 22(4): 544-550 (2018) - [c43]Daiki Kobayashi, Yukihiro Hamasuna:
A Study on Clustering Unweighted Network Data and Its Evaluation Using Cluster Validity Measure. SCIS&ISIS 2018: 648-653 - [c42]Shusuke Nakano, Yukihiro Hamasuna, Yasunori Endo:
A Study on Controlled Node Sized Network Clustering for Unweighted Network Data. SCIS&ISIS 2018: 826-831 - 2017
- [c41]Yukihiro Hamasuna, Yasunori Endo:
On Some Clustering Algorithms Based on Tolerance. Fuzzy Sets, Rough Sets, Multisets and Clustering 2017: 87-99 - [c40]Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita, Yukihiro Hamasuna:
On various types of controlled-sized clustering based on optimization. FUZZ-IEEE 2017: 1-6 - [c39]Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna:
Hierarchical clustering algorithms with automatic estimation of the number of clusters. IFSA-SCIS 2017: 1-5 - [c38]Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo:
A study on cluster validity measures for clustering network data. IFSA-SCIS 2017: 1-6 - [c37]Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo:
Agglomerative hierarchical clustering based on local optimization for cluster validity measures. SMC 2017: 1822-1827 - 2016
- [j18]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): 571-579 (2016) - [j17]Yukihiro Hamasuna, Naohiko Kinoshita, Yasunori Endo:
Comparison of Cluster Validity Measures Based x-Means. J. Adv. Comput. Intell. Intell. Informatics 20(5): 845-853 (2016) - [c36]Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna:
On Various Types of Even-Sized Clustering Based on Optimization. MDAI 2016: 165-177 - [c35]Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo:
A Method of Two-Stage Clustering Based on Cluster Validity Measures. SCIS&ISIS 2016: 410-415 - [c34]Yukihiro Hamasuna, Yasunori Endo:
On Kernelized Sequential Hard Clustering. SCIS&ISIS 2016: 416-419 - 2015
- [j16]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): 23-28 (2015) - [j15]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): 624-631 (2015) - [j14]Yukihiro Hamasuna, Yasunori Endo:
On Sequential Cluster Extraction Based on L1-Regularized Possibilistic c-Means. J. Adv. Comput. Intell. Intell. Informatics 19(5): 655-661 (2015) - [j13]Yukihiro Hamasuna, Yasunori Endo:
On a Family of New Sequential Hard Clustering. J. Adv. Comput. Intell. Intell. Informatics 19(6): 759-765 (2015) - [c33]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: 1-7 - 2014
- [c32]Yukihiro Hamasuna, Yasunori Endo:
On new sequential hard c-means and its kernelization. GrC 2014: 82-87 - [c31]Yukihiro Hamasuna, Yasunori Endo:
Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term. MDAI 2014: 135-144 - [c30]Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna:
Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms. MDAI 2014: 145-157 - [c29]Yukihiro Hamasuna, Yasunori Endo:
On new sequential hard c-medoids. SCIS&ISIS 2014: 489-494 - [c28]Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Yukihiro Hamasuna:
On even-sized clustering algorithm based on optimization. SCIS&ISIS 2014: 495-500 - 2013
- [j12]Yasunori Endo, Ayako Heki, Yukihiro Hamasuna:
Non Metric Model Based on Rough Set Representation. J. Adv. Comput. Intell. Intell. Informatics 17(4): 540-551 (2013) - [j11]Yukihiro Hamasuna, Yasunori Endo:
On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria. Soft Comput. 17(1): 71-81 (2013) - [c27]Yukihiro Hamasuna, Yasunori Endo:
On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering. KSE (2) 2013: 57-67 - [c26]Yukihiro Hamasuna, Yasunori Endo:
On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model. MDAI 2013: 204-213 - [c25]Yukihiro Hamasuna, Yasunori Endo:
Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering. SMC 2013: 3505-3510 - 2012
- [j10]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. J. Adv. Comput. Intell. Intell. Informatics 16(1): 174-179 (2012) - [j9]Yukihiro Hamasuna, Yasunori Endo:
Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance. J. Adv. Comput. Intell. Intell. Informatics 16(7): 819-824 (2012) - [j8]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): 831-840 (2012) - [c24]Yasunori Endo, Ayako Heki, Yukihiro Hamasuna:
On Rough Set Based Non Metric Model. MDAI 2012: 394-407 - [c23]Yukihiro Hamasuna, Yasunori Endo:
On sparse possibilistic clustering with crispness - Classification function and sequential extraction. SCIS&ISIS 2012: 1801-1806 - 2011
- [j7]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): 68-75 (2011) - [j6]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): 76-82 (2011) - [c22]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: 804-809 - [c21]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization. FUZZ-IEEE 2011: 810-815 - [c20]Yasunori Endo, Tatsuyoshi Tsuji, Yukihiro Hamasuna, Kouta Kurihara:
On principal component analysis for data with tolerance. GrC 2011: 177-182 - [c19]Yukihiro Hamasuna, Yasunori Endo:
On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria. GrC 2011: 225-230 - [c18]Yasunori Endo, Yukihiro Hamasuna:
Hard and fuzzy c-means clustering with mutual relation constraints. ISDA 2011: 557-562 - [c17]Yasunori Endo, Yukihiro Hamasuna:
Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms. KES (1) 2011: 131-140 - [c16]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. MDAI 2011: 103-113 - [c15]Yasunori Endo, Arisa Taniguchi, Aoi Takahashi, Yukihiro Hamasuna:
On Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data. MDAI 2011: 126-138 - 2010
- [j5]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
On tolerant fuzzy c-means clustering and tolerant possibilistic clustering. Soft Comput. 14(5): 487-494 (2010) - [c14]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: 1-8 - [c13]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
Cluster validity measures for data with tolerance. FUZZ-IEEE 2010: 1-6 - [c12]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. GrC 2010: 188-193 - [c11]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. MDAI 2010: 152-162
2000 – 2009
- 2009
- [j4]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
On Tolerant Fuzzy c -Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 13(4): 421-428 (2009) - [j3]Makito Yamashiro, Yasunori Endo, Yukihiro Hamasuna:
Clustering Algorithm Based on Probabilistic Dissimilarity. J. Adv. Comput. Intell. Intell. Informatics 13(4): 429-433 (2009) - [c10]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
On Tolerant Fuzzy c-Means Clustering with L1-Regularization. IFSA/EUSFLAT Conf. 2009: 1152-1157 - [c9]Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto:
On semi-supervised fuzzy c-means clustering. FUZZ-IEEE 2009: 1119-1124 - [c8]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
On L1-Norm based tolerant fuzzy c-Means clustering. FUZZ-IEEE 2009: 1125-1130 - [c7]Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto:
On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. GrC 2009: 148-153 - [c6]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. GrC 2009: 197-202 - 2008
- [j2]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): 461-466 (2008) - [c5]Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto:
Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin. FUZZ-IEEE 2008: 750-755 - [c4]Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro:
On Tolerant Entropy Regularized Fuzzy C-means. GrC 2008: 244-247 - 2007
- [j1]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): 51-60 (2007) - [c3]Yukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto:
Two Clustering Algorithms for Data with Tolerance based on Hard c-Means. FUZZ-IEEE 2007: 1-4 - [c2]Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto:
Agglomerative Hierarchical Clustering for Data with Tolerance. GrC 2007: 404-409 - [c1]Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto:
Fuzzy c -Means for Data with Tolerance Defined as Hyper-Rectangle. MDAI 2007: 237-248
Coauthor Index
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