A Semi‐Supervised Framework for MMMs‐Induced Fuzzy Co‐Clustering with Virtual Samples D Tanaka, K Honda, S Ubukata, A Notsu Advances in Fuzzy Systems 2016 (1), 5206048, 2016 | 81 | 2016 |
Objective function-based rough membership C-means clustering S Ubukata, A Notsu, K Honda Information Sciences 548, 479-496, 2021 | 22 | 2021 |
Noise rejection in MMMs-induced fuzzy co-clustering K Honda, N Yamamoto, S Ubukata, A Notsu Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2017 | 19 | 2017 |
General formulation of rough C-means clustering S Ubukata, A Notsu, K Honda International Journal of Computer Science and Network Security 17 (9), 29-38, 2017 | 19 | 2017 |
Rough set-based clustering utilizing probabilistic memberships S Ubukata, H Kato, A Notsu, K Honda Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2018 | 17 | 2018 |
Characteristics of rough set C-means clustering S Ubukata, K Umado, A Notsu, K Honda Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2018 | 17 | 2018 |
A unified approach for cluster-wise and general noise rejection approaches for k-means clustering S Ubukata PeerJ Computer Science 5, e238, 2019 | 16 | 2019 |
Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics T Goshima, K Honda, S Ubukata, A Notsu International Journal of Approximate Reasoning 95, 185-193, 2018 | 14 | 2018 |
Optimization of learning cycles in online reinforcement learning systems A Notsu, K Yasuda, S Ubukata, K Honda 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 12 | 2018 |
The rough set k-means clustering S Ubukata, A Notsu, K Honda 2016 Joint 8th International Conference on Soft Computing and Intelligent …, 2016 | 12 | 2016 |
A semi-supervised fuzzy co-clustering framework and application to twitter data analysis K Honda, S Ubukata, A Notsu, N Takahashi, Y Ishikawa 2015 International Conference on Informatics, Electronics & Vision (ICIEV), 1-4, 2015 | 12 | 2015 |
Imprecise rules for data privacy M Inuiguchi, T Hamakawa, S Ubukata Rough Sets and Knowledge Technology: 10th International Conference, RSKT …, 2015 | 12 | 2015 |
Partially exclusive item partition in MMMs-induced fuzzy co-clustering and its effects in collaborative filtering K Honda, T Nakano, CH Oh, S Ubukata, A Notsu Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2015 | 11 | 2015 |
Basic consideration of collaborative filtering based on rough C-means clustering S Ubukata, S Takahashi, A Notsu, K Honda 2020 Joint 11th International Conference on Soft Computing and Intelligent …, 2020 | 10 | 2020 |
Online state space generation by a growing self-organizing map and differential learning for reinforcement learning A Notsu, K Yasuda, S Ubukata, K Honda Applied Soft Computing 97, 106723, 2020 | 10 | 2020 |
A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition K Honda, M Omori, S Ubukata, A Notsu 2015 7th International Conference of Soft Computing and Pattern Recognition …, 2015 | 10 | 2015 |
An agent control method based on rough-set-based granularity S Ubukata, Y Kudo, T Murai, Y Sato SCIS & ISIS 2008, 987-990, 2008 | 10 | 2008 |
The Rough Membership k-Means Clustering S Ubukata, A Notsu, K Honda Integrated Uncertainty in Knowledge Modelling and Decision Making: 5th …, 2016 | 9 | 2016 |
Performance Investigation of UCB Policy in Q-learning K Saito, A Notsu, S Ubukata, K Honda 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 9 | 2015 |
FCM‐Type Fuzzy Coclustering for Three‐Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK K Honda, Y Suzuki, S Ubukata, A Notsu Advances in Fuzzy Systems 2017 (1), 9842127, 2017 | 7 | 2017 |