A Framework of Caring Interaction by a Network Model of Client's Concepts Based on a Nursing Theory and Naive Psychological Approaches. - Akira Notsu; Osamu Katai; Hiroshi Kawakami (Active Media Technology, 2001)

Simultaneous Application of PLS Regression and FCM-type Clustering. - Katsuhiro Honda; Hidetomo Ichihashi; Akira Notsu (FUZZ-IEEE, 2006)

Exploratory Approach to fMRI Study with Fuzzy Clustering and General Linear Model. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu; Takafumi Kurokawa (FUZZ-IEEE, 2006)

Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering. - Katsuhiro Honda; Hidetomo Ichihashi; Akira Notsu; Francesco Masulli; Stefano Rovetta (RSCTC, 2006)

Postsupervised Hard c-Means Classifier. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu (RSCTC, 2006)

A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering. - Katsuhiro Honda; Hidetomo Ichihashi; Akira Notsu (SMC, 2006)

Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance. - Akira Notsu; Hidetomo Ichihashi; Katsuhiro Honda (SMC, 2006)

Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu; Takao Hattori (FOCI, 2007)

Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu; Takafumi Yagi (FOCI, 2007)

Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables. - Katsuhiro Honda; Ryo Uesugi; Hidetomo Ichihashi; Akira Notsu (FUZZ-IEEE, 2007)

Agent-based social simulation based on cognitive economic efficiency. - Yu Yamamoto; Akira Notsu; Hidetomo Ichihashi; Katsuhiro Honda (IEEE Congress on Evolutionary Computation, 2008)

Linear fuzzy clustering of relational data based on extended Fuzzy c-Medoids. - Naoki Haga; Katsuhiro Honda; Hidetomo Ichihashi; Akira Notsu (FUZZ-IEEE, 2008)

FCM-type switching regression with alternating least squares method. - Katsuhiro Honda; Takahiro Ohyama; Hidetomo Ichihashi; Akira Notsu (FUZZ-IEEE, 2008)

Classifier of BOLD signals from active and inactive brain states using FCM clustering and evolutionary algorithms. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu; Takao Hattori (FUZZ-IEEE, 2008)

FCM classifier for high-dimensional data. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu; Eri Miyamoto (FUZZ-IEEE, 2008)

Fuzzy c-means classifier with particle swarm optimization. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu; Keiichi Ohta (FUZZ-IEEE, 2008)

A Perceptual Approach to User Clustering in Collaborative Filtering. - Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (GrC, 2008)

State and action space segmentation algorithm in Q-learning. - Akira Notsu; Hidetomo Ichihashi; Katsuhiro Honda (IJCNN, 2008)

Cluster validation in linear fuzzy clustering of relational data from multi-cluster principal coordinate analysis view point. - Naoki Haga; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2009)

Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach. - Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2009)

A comparative study on cluster validity criteria in linear fuzzy clustering and pareto optimality analysis. - Katsuhiro Honda; Tomonari Nomaguchi; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2009)

Triplet of FCM classifiers. - Hidetomo Ichihashi; Akira Notsu; Katsuhiro Honda (FUZZ-IEEE, 2009)

Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier. - Hidetomo Ichihashi; Akira Notsu; Katsuhiro Honda; Tatsuya Katada; Makoto Fujiyoshi (FUZZ-IEEE, 2009)

Cluster validation in k-Means clustering based on PCA-guided k-Means and procrustean transformation of PC scores. - Tomohiro Matsui; Katsuhiro Honda; Chi-Hyon Oh; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2009)

Benchmarking parameterized fuzzy c-Means classifier. - Kazuya Nagaura; Hidetomo Ichihashi; Akira Notsu; Katsuhiro Honda (FUZZ-IEEE, 2009)

Conceptual graph generation from text documents based on perceptual balance. - Akira Notsu; Katsuhiro Honda; Hidetomo Ichihashi (FUZZ-IEEE, 2009)

PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering. - Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (MDAI, 2009)

Visualization of balancing systems based on naïve psychological approaches. - Akira Notsu; Hidetomo Ichihashi; Katsuhiro Honda; Osamu Katai (AI Soc., 2009)

PCA-guided fuzzy cluster validation with noise rejection. - Katsuhiro Honda; Akira Notsu; Tomohiro Matsui; Hidetomo Ichihashi (FUZZ-IEEE, 2010)

Improvement in the performance of camera based vehicle detector for parking lot. - Hidetomo Ichihashi; Tatsuya Katada; Makoto Fujiyoshi; Akira Notsu; Katsuhiro Honda (FUZZ-IEEE, 2010)

Semi-hard c-means clustering with application to classifier design. - Hidetomo Ichihashi; Akira Notsu; Katsuhiro Honda (FUZZ-IEEE, 2010)

Fuzzy and Semi-hard c-Means Clustering with Application to Classifier Design. - Hidetomo Ichihashi; Akira Notsu; Katsuhiro Honda (IUM, 2010)

Formalizing coexistential communication as co-creation of Leibnizian spatio-temporal fields. - Osamu Katai; Hiroshi Kawakami; Takayuki Shiose; Akira Notsu (AI Soc., 2010)

Local subspace learning by extended fuzzy c-medoids clustering. - Naoki Haga; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (Int. J. Knowl. Eng. Soft Data Paradigms, 2010)

Collaborative filtering by sequential user-item co-cluster extraction from rectangular relational data. - Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (Int. J. Knowl. Eng. Soft Data Paradigms, 2010)

Fuzzy PCA-Guided Robust k -Means Clustering. - Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (IEEE Trans. Fuzzy Syst., 2010)

A study on regularization effects of fuzzified memberships in FCM clustering. - Katsuhiro Honda; Yui Matsumoto; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2011)

Partially exclusive condition for sequential fuzzy co-cluster extraction. - Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2011)

PCA-guided k-Means clustering with incomplete data. - Katsuhiro Honda; Ryoichi Nonoguchi; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2011)

Comparison of scaling behavior between fuzzy c-means based classifier with many parameters and LibSVM. - Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu (FUZZ-IEEE, 2011)

Ellipse detection with hard c-regression models and random initializations. - Hidetomo Ichihashi; Li Chieu Lam; Katsuhiro Honda; Akira Notsu (FUZZ-IEEE, 2011)

Proposed particle-filtering method for reinforcement learning. - Akira Notsu; Katsuhiro Honda; Hidetomo Ichihashi (FUZZ-IEEE, 2011)

Influence of the space segmentation and its adaptive automation for reinforcement learning. - Akira Notsu; Yuki Komori; Katsuhiro Honda; Hidetomo Ichihashi (FUZZ-IEEE, 2011)

FCMdd-type linear fuzzy clustering for incomplete non-Euclidean relational data. - Takeshi Yamamoto; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2011)

Hybrid objective function of Fuzzy c-Varieties and cross-shape fuzzy cluster extraction. - Daisuke Yoshida; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2011)

Simple Reinforcement Learning for Small-Memory Agent. - Akira Notsu; Katsuhiro Honda; Hidetomo Ichihashi; Yuki Komori (ICMLA (1), 2011)

Improvement of Particle Filter for Reinforcement Learning. - Akira Notsu; Katsuhiro Honda; Hidetomo Ichihashi; Yuki Komori; Yuuki Iwamoto (ICMLA (1), 2011)

Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion. - Takeshi Yamamoto; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (ICMLA (2), 2011)

A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data. - Takeshi Yamamoto; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (Adv. Fuzzy Syst., 2011)

Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure. - Katsuhiro Honda; Akira Notsu; Tomohiro Matsui; Hidetomo Ichihashi (Int. J. Fuzzy Syst. Appl., 2011)

Alternative fuzzy c-lines and local principal component extraction. - Katsuhiro Honda; Sakuya Nakao; Akira Notsu; Hidetomo Ichihashi (Int. J. Knowl. Eng. Soft Data Paradigms, 2011)

Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization. - Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data. - Takeshi Yamamoto; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2011)

A fuzzy variant of k-member clustering for collaborative filtering with data anonymization. - Katsuhiro Honda; Arina Kawano; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2012)

Alternative fuzzy c-lines and comparison with noise clustering in cluster validation. - Katsuhiro Honda; Sakuya Nakao; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2012)

Improvement by sorting and thresholding in PCA based nearest neighbor search. - Hidetomo Ichihashi; Toshiro Ogita; Katsuhiro Honda; Akira Notsu (FUZZ-IEEE, 2012)

Application of cluster validity criteria to Rock-Paper-Scissors game judgment. - Yui Matsumoto; Takeshi Yamamoto; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2012)

A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering. - Katsuhiro Honda; Yui Matsumoto; Arina Kawano; Akira Notsu; Hidetomo Ichihashi (IIMSS, 2012)

Reinforcement learning with particles for instant optimality. - Tsuyoshi Beppu; Akira Notsu; Katsuhiro Honda; Hidetomo Ichihashi (SCIS&ISIS, 2012)

FCM-type co-clustering with exclusive partition of selected items and application to collaborative filtering. - Katsuhiro Honda; Chi-Hyon Oh; Akira Notsu; Hidetomo Ichihashi (SCIS&ISIS, 2012)

Template-based fuzzy clustering with cluster-wise coordinate transformation. - Katsuhiro Honda; Shotaro Osaka; Akira Notsu; Hidetomo Ichihashi (SCIS&ISIS, 2012)

PCA-Tree NNS with two approximation methods and annulus bound method. - Hidetomo Ichihashi; Toshiro Ogita; Akira Notsu; Katsuhiro Honda (SCIS&ISIS, 2012)

Comparison on membership functions in fuzzy k-member clustering for data anonymization. - Arina Kawano; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (SCIS&ISIS, 2012)

Mixed usage of MATLAB and visual C for improving classification time and training time of FCM classifier. - Takuya Kobayashi; Hidetomo Ichihashi; Katsuhiro Honda; Akira Notsu (SCIS&ISIS, 2012)

FCM-type co-clustering of categorical multivariate data with exclusive partition. - Yui Matsumoto; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (SCIS&ISIS, 2012)

Robust local subspace learning by linear fuzzy clustering with Alternative c-Means criterion. - Sakuya Nakao; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (SCIS&ISIS, 2012)

Cluster validation in k-Means clustering of mixed databases based on principal component analysis. - Ryoichi Nonoguchi; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (SCIS&ISIS, 2012)

Information compression effect based on PCA for reinforcement learning agents' communication. - Akira Notsu; Katsuhiro Honda; Hidetomo Ichihashi; Ayaka Ido; Yuki Komori (SCIS&ISIS, 2012)

Automatic Adaptive Space Segmentation for Reinforcement Learning. - Yuki Komori; Akira Notsu; Katsuhiro Honda; Hidetomo Ichihashi (Int. J. Fuzzy Log. Intell. Syst., 2012)

Fuzzy c-Regression Models with direction-dependent uncertainty and its application to residential solar electric power analysis. - Shunsuke Iwata; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2013)

A study on applicability of fuzzy k-member clustering to privacy preserving pattern recognition. - Hirohide Kasugai; Arina Kawano; Katsuhiro Honda; Akira Notsu (FUZZ-IEEE, 2013)

A cluster validity index for FCM-type co-clustering. - Mai Muranishi; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (FUZZ-IEEE, 2013)

Intrinsic scenario estimation by noise fuzzy clustering in group decision making. - Akira Suwa; Katsuhiro Honda; Akira Notsu; Tomoe Entani (FUZZ-IEEE, 2013)

Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier. - Takuya Kobayashi; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (ICONIP (3), 2013)

A Greedy Algorithm for k-Member Co-clustering and its Applicability to Collaborative Filtering. - Arina Kawano; Katsuhiro Honda; Hirohide Kasugai; Akira Notsu (KES, 2013)

Intergration of Information based on the Similarity in AHP. - Akira Notsu; Hirokazu Kawakami; Yuki Tezuka; Katsuhiro Honda (KES, 2013)

Introduction of Majority Vote of Neighborhood Conditions for Sneak form Reinforcement Learning. - Yuki Tezuka; Akira Notsu; Katsuhiro Honda (KES, 2013)

Visualization of Non-Euclidean Relational Data by Robust Linear Fuzzy Clustering Based on FCMdd Framework. - Katsuhiro Honda; Takeshi Yamamoto; Akira Notsu; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Fuzzy co-clustering of vertically partitioned cooccurrence data with privacy consideration. - Katsuhiro Honda; Toshiya Oda; Akira Notsu (FUZZ-IEEE, 2014)

FCM-type fuzzy co-clustering by K-L information regularization. - Katsuhiro Honda; Shunnya Oshio; Akira Notsu (FUZZ-IEEE, 2014)

Incremental algorithms for fuzzy co-clustering of very large cooccurrence matrix. - Katsuhiro Honda; Daiji Tanaka; Akira Notsu (FUZZ-IEEE, 2014)

Item membership fuzzification in fuzzy co-clustering based on multinomial mixture concept. - Katsuhiro Honda; Shunnya Oshio; Akira Notsu (GrC, 2014)

Application of xie-beni-type validity index to fuzzy co-clustering models based on cluster aggregation and pseudo-cluster-center estimation. - Mai Muranishi; Katsuhiro Honda; Akira Notsu (ISDA, 2014)

Epidemie process simulator by multi agent simulation considering urban models. - Yuichi Hattori; Akira Notsu; Katsuhiro Honda (SCIS&ISIS, 2014)

Exclusive condition on item partition in fuzzy co-clustering based on K-L information regularization. - Katsuhiro Honda; Chi-Hyon Oh; Akira Notsu (SCIS&ISIS, 2014)

Alternative fuzzy c-regression models with tolerance. - Shunsuke Iwata; Katsuhiro Honda; Akira Notsu (SCIS&ISIS, 2014)

Discounted UCB1-tuned for Q-learning. - Koki Saito; Akira Notsu; Katsuhiro Honda (SCIS&ISIS, 2014)

A comparative study on clustering-based group scenario summarization in AHP. - Akira Suwa; Katsuhiro Honda; Akira Notsu; Tomoe Entani (SCIS&ISIS, 2014)

Privacy preserving fuzzy co-clustering with distributed cooccurrence matrices. - Daiji Tanaka; Toshiya Oda; Katsuhiro Honda; Akira Notsu (SCIS&ISIS, 2014)

Utility of Turning Spot Learning under complex goal search and the limit of memory usage. - Yuki Tezuka; Akira Notsu; Katsuhiro Honda (SCIS&ISIS, 2014)

Performance Comparison of Collaborative Filtering with k-Anonymized Data by Fuzzy k-Member Clustering. - Arina Kawano; Katsuhiro Honda; Akira Notsu; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Improvement of PCA-Based Approximate Nearest Neighbor Search Using Distance Statistics. - Toshiro Ogita; Hidetomo Ichihashi; Akira Notsu; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches. - Katsuhiro Honda; Akira Notsu; Chi-Hyon Oh (Soft Computing in Artificial Intelligence, 2014)

Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance. - Shunsuke Iwata; Katsuhiro Honda; Akira Notsu (Soft Computing in Artificial Intelligence, 2014)

Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering of Documents and Keywords. - Mai Muranishi; Katsuhiro Honda; Akira Notsu (Soft Computing in Artificial Intelligence, 2014)

Performance Investigation of UCB Policy in Q-learning. - Koki Saito; Akira Notsu; Seiki Ubukata; Katsuhiro Honda (ICMLA, 2015)

MMMs-Induced Fuzzy Co-clustering with Exclusive Partition Penalty on Selected Items. - Takaya Nakano; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (IUKM, 2015)

Proposal of Grid Area Search with UCB for Discrete Optimization Problem. - Akira Notsu; Koki Saito; Yuhumi Nohara; Seiki Ubukata; Katsuhiro Honda (IUKM, 2015)

FCM-Type Co-clustering Transfer Reinforcement Learning for Non-Markov Processes. - Akira Notsu; Takanori Ueno; Yuichi Hattori; Seiki Ubukata; Katsuhiro Honda (IUKM, 2015)

A Deterministic Clustering Framework in MMMs-Induced Fuzzy Co-clustering. - Shunnya Oshio; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (IUKM, 2015)

An Ensemble Learning Approach Based on Rough Set Preserving the Qualities of Approximations. - Seiki Ubukata; Taro Miyazaki; Akira Notsu; Katsuhiro Honda; Masahiro Inuiguchi (IUKM, 2015)

An Ensemble Learning Approach Based on Missing-Valued Tables. - Seiki Ubukata; Taro Miyazaki; Akira Notsu; Katsuhiro Honda; Masahiro Inuiguchi (RSFDGrC, 2015)

A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition. - Katsuhiro Honda; Masahiro Omori; Seiki Ubukata; Akira Notsu (SoCPaR, 2015)

Fuzzy co-clustering considering site-wise confidence of vertically partitioned cooccurrence data. - Toshiya Oda; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (TAAI, 2015)

A study on fuzzy co-clustering with partial supervision and virtual samples. - Daiji Tanaka; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (TAAI, 2015)

A Collaborative Framework for Privacy Preserving Fuzzy Co-Clustering of Vertically Distributed Cooccurrence Matrices. - Katsuhiro Honda; Toshiya Oda; Daiji Tanaka; Akira Notsu (Adv. Fuzzy Syst., 2015)

Partially Exclusive Item Partition in MMMs-Induced Fuzzy Co-Clustering and its Effects in Collaborative Filtering. - Katsuhiro Honda; Takaya Nakano; Chi-Hyon Oh; Seiki Ubukata; Akira Notsu (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Fuzzy Co-Clustering Induced by Multinomial Mixture Models. - Katsuhiro Honda; Shunnya Oshio; Akira Notsu (J. Adv. Comput. Intell. Intell. Informatics, 2015)

A fuzzy co-clustering interpretation of probabilistic latent semantic analysis. - Katsuhiro Honda; Takafumi Goshima; Seiki Ubukata; Akira Notsu (FUZZ-IEEE, 2016)

MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information. - Katsuhiro Honda; Hikaru Sakamoto; Seiki Ubukata; Akira Notsu (IJCNN, 2016)

Fuzzy DA Clustering-Based Improvement of Probabilistic Latent Semantic Analysis. - Takafumi Goshima; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (IUKM, 2016)

Exclusive Item Partition with Fuzziness Tuning in MMMs-Induced Fuzzy Co-clustering. - Takaya Nakano; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (IUKM, 2016)

The Rough Membership k-Means Clustering. - Seiki Ubukata; Akira Notsu; Katsuhiro Honda (IUKM, 2016)

Cluster Validation in Multinomial Mixtures-Induced Fuzzy Co-Clustering. - Katsuhiro Honda; Yurina Suzuki; Seiki Ubukata; Akira Notsu (SCIS&ISIS, 2016)

A Noise Fuzzy Co-Clustering Scheme in MMMs-Induced Clustering. - Katsuhiro Honda; Nami Yamamoto; Seiki Ubukata; Akira Notsu (SCIS&ISIS, 2016)

A Study on Recommendation Ability in Collaborative Filtering by Fuzzy Co-Clustering with Exclusive Item Partition. - Takaya Nakano; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (SCIS&ISIS, 2016)

Application of the UCT Algorithm for Noisy Optimization Problems. - Akira Notsu; Satoshi Kane; Seiki Ubukata; Katsuhiro Honda (SCIS&ISIS, 2016)

The Rough Set k-Means Clustering. - Seiki Ubukata; Akira Notsu; Katsuhiro Honda (SCIS&ISIS, 2016)

A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples. - Daiji Tanaka; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (Adv. Fuzzy Syst., 2016)

Visualization of Learning Process in "State and Action" Space Using Self-Organizing Maps. - Akira Notsu; Yuichi Hattori; Seiki Ubukata; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2016)

A fuzzy co-clustering model for three-modes relational cooccurrence data. - Katsuhiro Honda; Yurina Suzuki; Mio Nishioka; Seiki Ubukata; Akira Notsu (FUZZ-IEEE, 2017)

Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution. - Nami Yamamoto; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (FUZZ-IEEE, 2017)

Visual assessment of co-cluster structure through cooccurrence-sensitive ordering. - Katsuhiro Honda; Takuya Sako; Seiki Ubukata; Akira Notsu (IFSA-SCIS, 2017)

A novel approach to noise clustering in multivariate fuzzy c-Means. - Katsuhiro Honda; Seiki Ubukata; Akira Notsu (IFSA-SCIS, 2017)

Possibilistic co-clustering based on extension of noise rejection scheme in FCCMM. - Seiki Ubukata; Katsuya Koike; Akira Notsu; Katsuhiro Honda (IFSA-SCIS, 2017)

FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK. - Katsuhiro Honda; Yurina Suzuki; Seiki Ubukata; Akira Notsu (Adv. Fuzzy Syst., 2017)

Noise Rejection in MMMs-Induced Fuzzy Co-Clustering. - Katsuhiro Honda; Nami Yamamoto; Seiki Ubukata; Akira Notsu (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Setting of Candidate Solutions Considering Confidence Intervals in Differential Evolution. - Akira Notsu; Masaya Sakakibara; Seiki Ubukata; Katsuhiro Honda (iFUZZY, 2018)

Basic Consideration of Online and Mini-Batch Algorithms for MMMs-induced Fuzzy Co-clustering. - Seiki Ubukata; Akira Notsu; Keiko Kida; Katsuhiro Honda (iFUZZY, 2018)

Effects of Semi-supervised Learning on Rough Set-Based C-Means Clustering. - Seiki Ubukata; Takeaki Shimizu; Akira Notsu; Katsuhiro Honda (iFUZZY, 2018)

Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data. - Katsuhiro Honda; Shotaro Matsuzaki; Seiki Ubukata; Akira Notsu (MDAI, 2018)

Automatic Estimation of Cluster Number in Fuzzy Co-Clustering Based on Competition and Elimination of Clusters. - Seiki Ubukata; Kazuki Yanagisawa; Akira Notsu; Katsuhiro Honda (SCIS&ISIS, 2018)

Optimization of Learning Cycles in Online Reinforcement Learning Systems. - Akira Notsu; Koji Yasuda; Seiki Ubukata; Katsuhiro Honda (SMC, 2018)

Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics. - Takafumi Goshima; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (Int. J. Approx. Reason., 2018)

Visual Co-Cluster Assessment with Intuitive Cluster Validation Through Cooccurrence-Sensitive Ordering. - Katsuhiro Honda; Takuya Sako; Seiki Ubukata; Akira Notsu (J. Adv. Comput. Intell. Intell. Informatics, 2018)

MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics. - Seiki Ubukata; Katsuya Koike; Akira Notsu; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Rough Set-Based Clustering Utilizing Probabilistic Memberships. - Seiki Ubukata; Hiroki Kato; Akira Notsu; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Characteristics of Rough Set C-Means Clustering. - Seiki Ubukata; Keisuke Umado; Akira Notsu; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Robust Non-negative Matrix Factorization Based on Noise Fuzzy Clustering Mechanism. - Masaaki Ueno; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (AICCC, 2019)

Comparison of Gradient Descent Methods in Online Fuzzy Co-clustering. - Keiko Kida; Seiki Ubukata; Akira Notsu; Katsuhiro Honda (iFUZZY, 2019)

Fuzzy c-Regression Models with Cluster Characteristics Clarification. - Shinpei Nasada; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (iFUZZY, 2019)

Effects of Semi-supervised Learning on Rough Membership C- Means Clustering. - Takeaki Shimizu; Seiki Ubukata; Akira Notsu; Katsuhiro Honda (iFUZZY, 2019)

A Comparative Study on Questionnaire Design for Categorization Based on Fuzzy Co-clustering Concept and Multi-view Possibilistic Partition. - Ruixin Yang; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (iFUZZY, 2019)

Fuzzy Co-clustering for Categorization of Subjects in Questionnaire Considering Responsibility of Each Question. - Katsuhiro Honda; Ruixin Yang; Seiki Ubukata; Akira Notsu (IUKM, 2019)

Designation of Candidate Solutions in Differential Evolution Based on Bandit Algorithm and its Evaluation. - Masaya Sakakibara; Akira Notsu; Seiki Ubukata; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2019)

A Comparative Study on Three-mode Fuzzy Co-clustering Based on Co-occurrence Aggregation Criteria. - Katsuhiro Honda; Issei Hayashi; Seiki Ubukata; Akira Notsu (CcS, 2020)

Proposal of Adaptive Randomness in Differential Evolution. - Junya Tsubamoto; Akira Notsu; Seiki Ubukata; Katsuhiro Honda (CEC, 2020)

A Noise Rejection Mechanism for pLSA-induced Fuzzy Co-clustering. - Katsuhiro Honda; Keita Hoshii; Seiki Ubukata; Akira Notsu (FUZZ-IEEE, 2020)

Basic Consideration of Co-Clustering Based on Rough Set Theory. - Seiki Ubukata; Narihira Nodake; Akira Notsu; Katsuhiro Honda (IUKM, 2020)

Randomness Selection in Differential Evolution Using Thompson Sampling. - Akira Notsu; Junya Tsubamoto; Yuichi Miyahira; Seiki Ubukata; Katsuhiro Honda (SCIS/ISIS, 2020)

Basic Consideration of Rough C-Medoids Clustering with Minkowski Distance. - Seiki Ubukata; Atsushi Sugimoto; Akira Notsu; Katsuhiro Honda (SCIS/ISIS, 2020)

Basic Consideration of Collaborative Filtering Based on Rough C-Means Clustering. - Seiki Ubukata; Shu Takahashi; Akira Notsu; Katsuhiro Honda (SCIS/ISIS, 2020)

Online state space generation by a growing self-organizing map and differential learning for reinforcement learning. - Akira Notsu; Koji Yasuda; Seiki Ubukata; Katsuhiro Honda (Appl. Soft Comput., 2020)

A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition. - Katsuhiro Honda; Yoshiki Hakui; Seiki Ubukata; Akira Notsu (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Noise Rejection Approaches for Various Rough Set-Based C-Means Clustering. - Seiki Ubukata; Sho Sekiya; Akira Notsu; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Fuzzy Clustering-based Switching Non-negative Matrix Factorization and Its Application to Environmental Data Analysis. - Katsuhiro Honda; T. Furukawa; Seiki Ubukata; Akira Notsu (IFSA/EUSFLAT/AGOP, 2021)

Fuzzy c-Varieties Clustering for Vertically Distributed Datasets. - Katsuhiro Honda; Kohei Kunisawa; Seiki Ubukata; Akira Notsu (KES, 2021)

Fuzzy-Possibilistic Clustering for Categorical Multivariate Data. - Katsuhiro Honda; Kosuke Hayashi; Seiki Ubukata; Akira Notsu (SICE, 2021)

Objective function-based rough membership C-means clustering. - Seiki Ubukata; Akira Notsu; Katsuhiro Honda (Inf. Sci., 2021)

Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms. - Katsuhiro Honda; Issei Hayashi; Seiki Ubukata; Akira Notsu (J. Adv. Comput. Intell. Intell. Informatics, 2021)

A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification. - Katsuhiro Honda; Koki Kitamori; Seiki Ubukata; Akira Notsu (IJCNN, 2022)

Additional Out-Group Search for JADE. - Yuichi Miyahira; Akira Notsu (IUKM, 2022)

Handling of Missing Values in FCM Clustering-based ANFIS with Partial Distance Strategy. - Katsuhiro Honda; Satoshi Hyakutake; Seiki Ubukata; Akira Notsu (SCIS/ISIS, 2022)

Fuzzy c-Lines for Vertically Distributed Database with Missing Values. - Kohei Kunisawa; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (SCIS/ISIS, 2022)

FCM-Induced Switching Fuzzy Factorization Machine for Collaborative Filtering. - Rikuto Daido; Katsuhiro Honda; Seiki Ubukata; Akira Notsu (FUZZ, 2023)

Handling of Component-Wise Noise in ANFIS Induced by Ellipsoidal Fuzzy Clustering. - Katsuhiro Honda; Ryuta Kurahashi; Seiki Ubukata; Akira Notsu (FUZZ, 2023)

Predicting Stock Price Fluctuations Considering the Sunny Effect. - Kenta Nakaniwa; Tomoya Matsuki; Makishi Iguchi; Akira Notsu; Katsuhiro Honda (IUKM (2), 2023)

A comparative study on effects of some exclusive conditions in fuzzy co-clustering for collaborative filtering. - Katsuhiro Honda; Seiki Ubukata; Akira Notsu (J. Ambient Intell. Humaniz. Comput., 2023)

Control of JADE Population in Limited Number of Searches for Realistic Situations. - Tomoya Matsuki; Akira Notsu; Katsuhiro Honda; Takuya Kato; Masakazu Shibahara (CEC, 2024)

FCM-Induced Switching Reinforcement Learning for Collaborative Learning. - Katsuhiro Honda; Taimu Yaotome; Seiki Ubukata; Akira Notsu (IJCNN, 2024)

Utilization of Genre Information in Collaborative Filtering by Three-mode Fuzzy Co-Clustering. - Katsuhiro Honda; Haruto Miwa; Seiki Ubukata; Akira Notsu (SCIS/ISIS, 2024)

Extension of Fuzzy c-Lines Considering Compactness and Separation of Clusters. - Katsuhiro Honda; Daichi Machida; Seiki Ubukata; Akira Notsu (SCIS/ISIS, 2024)

A Local PCA Model Induced from Linear Fuzzy Clustering with Cluster Separation. - Katsuhiro Honda; Daichi Machida; Seiki Ubukata; Akira Notsu (IUKM (1), 2025)