Jeffrey-like rules of conditioning for the Dempster-Shafer theory of evidence. - Hidetomo Ichihashi; Hideo Tanaka (Int. J. Approx. Reason., 1989)

Possibilistic Linear Programming with Measurable Multiattribute Value Functions. - Masahiro Inuiguchi; Hidetomo Ichihashi; Hideo Tanaka (INFORMS J. Comput., 1989)

Some properties of extended fuzzy preference relations using modalities. - Masahiro Inuiguchi; Hidetomo Ichihashi; Yasufumi Kume (Inf. Sci., 1992)

Fuzzy and semi-infinite mathematical programming. - M. K. Luhandjula; Hidetomo Ichihashi; Masahiro Inuiguchi (Inf. Sci., 1992)

Neuro-fuzzy optimal control of backing up a trailer truck. - Hidetomo Ichihashi; M. Tokunaga (ICNN, 1993)

A neuro-fuzzy approach with pairwise comparisons. - Hidetomo Ichihashi; I. Burhan Türksen (ICNN, 1993)

A neuro-fuzzy approach to data analysis of pairwise comparisons. - Hidetomo Ichihashi; I. Burhan Türksen (Int. J. Approx. Reason., 1993)

Maximum Entropy Algorithms for Uncertainty Measures. - Yoichiro Maeda; Hung T. Nguyen 002; Hidetomo Ichihashi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1993)

Modality constrained programming problems: A unified approach to fuzzy mathematical programming problems in the setting of possibility theory. - Masahiro Inuiguchi; Hidetomo Ichihashi; Yasufumi Kume (Inf. Sci., 1993)

Learning chaotic dynamics in recurrent RBF network. - Tetsuya Miyoshi; Hidetomo Ichihashi; S. Okamoto; T. Hayakawa (ICNN, 1995)

Neuro-fuzzy projection pursuit regression. - Tetsuya Miyoshi; Keisuke Nakao; Hidetomo Ichihashi; Kazunori Nagasaka (ICNN, 1995)

A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty. - Y. Tachibana; G. H. Lee; Hidetomo Ichihashi; Tetsuya Miyoshi (ICNN, 1995)

A neurofuzzy approach to variational problems by using Gaussian membership functions. - Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori Nagasaka; M. Tokunaga; T. Wakamatsu (Int. J. Approx. Reason., 1995)

Neuro-fuzzy ID3: a method of inducing fuzzy decision trees with linear programming for maximizing entropy and an algebraic method for incremental learning. - Hidetomo Ichihashi; T. Shirai; Kazunori Nagasaka; Tetsuya Miyoshi (Fuzzy Sets Syst., 1996)

Structural learning of neurofuzzy GMDH with Minkowski norm. - Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori Nagasaka; Y. Kanaumi (KES (2), 1998)

A pointing device using coordinate transformation of neurofuzzy GMDH. - Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; N. Tani (KES (2), 1998)

Neurofuzzy Cognitive Maps with Adaptive B-Splines. - Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi (Inf. Sci., 1998)

Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH. - Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori Nagasaka (Inf. Sci., 1998)

Nonlinear component analysis by fuzzy clustering and multidimensional scaling methods. - Eriko Ikeda; Toshio Imaoka; Hidetomo Ichihashi; Tetsuya Miyoshi (IJCNN, 1999)

LVQ-FCV for missing value estimation and pattern classification. - Eriko Ikeda; Hidetomo Ichihashi; Kazunori Nagasaka; Tetsuya Miyoshi (IJCNN, 1999)

Simultaneous approach to fuzzy cluster, principal component and multiple regression analysis. - Asuka Yamakawa; Katushiko Honda; Hidetomo Ichihashi; Tetsuya Miyoshi (IJCNN, 1999)

Simultaneous application of clustering and correspondence analysis. - Asuka Yamakawa; Katushiko Honda; Hidetomo Ichihashi; Tetsuya Miyoshi (IJCNN, 1999)

Fuzzy projection pursuit density estimation by eigenvalue method. - Tetsuya Miyoshi; Hidetomo Ichihashi; Kazunori Nagasaka (Int. J. Approx. Reason., 1999)

Parameter Specification for Fuzzy Clustering by Q-Learning. - Chi-Hyon Oh; Eriko Ikeda; Katsuhiro Honda; Hidetomo Ichihashi (IJCNN (4), 2000)

Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables. - Chi-Hyon Oh; Hirokazu Komatsu; Katsuhiro Honda; Hidetomo Ichihashi (IJCNN (3), 2000)

Analytic Hierarchy Process Based on Interval Analysis. - Tomoe Entani; Hidetomo Ichihashi; Kazutomi Sugihara; Hideo Tanaka (FUZZ-IEEE, 2001)

Fuzzy C-Means Clustering With Regularization by K-L Information. - Hidetomo Ichihashi; Kiyotaka Miyagishi; Katsuhiro Honda (FUZZ-IEEE, 2001)

Optimistic Priority Weights with an Interval Comparison Matrix. - Tomoe Entani; Hidetomo Ichihashi; Hideo Tanaka (JSAI Workshops, 2001)

Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering. - Katsuhiro Honda; Nobukazu Sugiura; Hidetomo Ichihashi; Shoichi Araki (Web Intelligence, 2001)

Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy. - Hidetomo Ichihashi; Katsuhiro Honda (FSKD, 2002)

Linear fuzzy clustering based on least absolute deviations. - Katsuhiro Honda; Nobuhiro Togo; Taro Fujii; Hidetomo Ichihashi (FUZZ-IEEE, 2002)

Robust local principal component analyzer with fuzzy clustering. - Katsuhiro Honda; Nobukazu Sugiura; Hidetomo Ichihashi (IJCNN, 2003)

A unified view of probabilistic PCA and regularized linear fuzzy clustering. - Yoshio Mori; Katsuhiro Honda; Akihiro Kanda; Hidetomo Ichihashi (IJCNN, 2003)

Detection of local linear structure from data with uncertainties. - Katsuhiro Honda; Hidetomo Ichihashi (FUZZ-IEEE, 2004)

On parameter setting in applying Dave's noise fuzzy clustering to Gaussian mixture models. - Hidetomo Ichihashi; Katsuhiro Honda (FUZZ-IEEE, 2004)

Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics. - Hidetomo Ichihashi; Katsuhiro Honda; Shoichi Araki (FUZZ-IEEE, 2004)

Component-wise robust linear fuzzy clustering for collaborative filtering. - Katsuhiro Honda; Hidetomo Ichihashi (Int. J. Approx. Reason., 2004)

Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data. - Katsuhiro Honda; Yoshihito Nakamura; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2004)

Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information. - Hidetomo Ichihashi; Katsuhiro Honda (J. Adv. Comput. Intell. Intell. Informatics, 2004)

Linear fuzzy clustering techniques with missing values and their application to local principal component analysis. - Katsuhiro Honda; Hidetomo Ichihashi (IEEE Trans. Fuzzy Syst., 2004)

Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values. - Hidetomo Ichihashi; Katsuhiro Honda (CIMCA/IAWTIC, 2005)

Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering. - Katsuhiro Honda; Hidetomo Ichihashi; Francesco Masulli; Stefano Rovetta (FUZZ-IEEE, 2005)

FCM Clustering from the View Point of Iteratively Reweighted Least Squares. - Hidetomo Ichihashi; Katsuhiro Honda (FUZZ-IEEE, 2005)

Robust PCA with Intra-Sample Outlier Process Based on Fuzzy Mahalanobis Distances and Noise Clustering. - Hidetomo Ichihashi; Katsuhiro Honda; Noboru Wakami (FUZZ-IEEE, 2005)

A New Approach to Fuzzification of Memberships in Cluster Analysis. - Katsuhiro Honda; Hidetomo Ichihashi (MDAI, 2005)

Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals. - Chi-Hyon Oh; Katsuhiro Honda; Hidetomo Ichihashi (MDAI, 2005)

Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models. - Katsuhiro Honda; Hidetomo Ichihashi (IEEE Trans. Fuzzy Syst., 2005)

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

Regularized Discriminant in the Setting of Fuzzy c-Means Classifier. - Hidetomo Ichihashi; Katsuhiro Honda; Takao Hattori (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)

Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis. - Tatsuya Maenaka; Katsuhiro Honda; Hidetomo Ichihashi (FUZZ-IEEE, 2006)

Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling. - Ryo Uesugi; Katsuhiro Honda; Hidetomo Ichihashi (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)

Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases. - Katsuhiro Honda; Hidetomo Ichihashi (Int. J. Approx. Reason., 2006)

Post-supervised Fuzzy c-Means Classifier with Hard Clustering. - Hidetomo Ichihashi; Katsuhiro Honda; Naho Kuwamoto; Takao Hattori (CIDM, 2007)

Fuzzy c-Means Classifier for Relational Data. - Hidetomo Ichihashi; Katsuhiro Honda; Yasuhiro Kuramoto; Fumiaki Matsuura (CIDM, 2007)

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)

Spatiotemporal brain activities in recalling sentence by loci mnemonic system. - Takahiro Yamanoi; Hisashi Toyoshima; Hidetomo Ichihashi (SMC, 2007)

A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights. - Katsuhiro Honda; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2007)

FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification. - Katsuhiro Honda; Ryo Uesugi; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Quantification of Multivariate Categorical Data Considering Typicality of Item. - Chi-Hyon Oh; Katsuhiro Honda; Hidetomo Ichihashi (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach. - Katsuhiro Honda; Hidetomo Ichihashi; Francesco Masulli; Stefano Rovetta (IEEE Trans. Fuzzy Syst., 2007)

Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications - Sadaaki Miyamoto; Hidetomo Ichihashi; Katsuhiro Honda (Springer, 2008)

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)

A new approach to robust k-Means clustering based on fuzzy principal component analysis. - Katsuhiro Honda; Hiromichi Araki; Tomohiro Matsui; Hidetomo Ichihashi (IJCNN, 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)

A fuzzy model-based community simulator for behavior analysis in virtual theme park. - Chi-Hyon Oh; 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)

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

Obituary. - Masahiro Inuiguchi; Hidetomo Ichihashi (Fuzzy Sets Syst., 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)

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)