Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2006)

Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Fuzzy classification function of fuzzy c-means algorithms for data with tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2008)

Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (GrC, 2008)

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2008)

Fuzzy c-Means Algorithms for Data with Tolerance Using Kernel Functions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Fuzzy c-Lines for Data with Tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IFSA/EUSFLAT Conf., 2009)

Entropy regularized fuzzy C-lines for data with tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2009)

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. - Yasunori Endo; Yukihiro Hamasuna; Yuchi Kanzawa; Sadaaki Miyamoto (GrC, 2009)

Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2009)

Indefinite Kernel Fuzzy c-Means Clustering Algorithms. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2010)

Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization. - Yasunori Endo; Yasushi Hasegawa; Yukihiro Hamasuna; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2011)

KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2011)

On FNM-based and RFCM-based fuzzy co-clustering algorithms. - Yuchi Kanzawa; Yasunori Endo (FUZZ-IEEE, 2012)

Relational fuzzy c-lines derived from kernel fuzzy c-lines. - Yuchi Kanzawa (SCIS&ISIS, 2012)

FNM-based and RFCM-based fuzzy clustering for tri-relational data. - Yuchi Kanzawa (SCIS&ISIS, 2012)

Comparison of imputation strategies in FNM-based and RFCM-based fuzzy co-clustering. - Yuchi Kanzawa (SCIS&ISIS, 2012)

Entropy-Regularized Fuzzy Clustering for Non-Euclidean Relational Data and Indefinite Kernel Data. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2012)

On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using a Quadratic Programming-Based Object-Wise β-Spread Transformation. - Yuchi Kanzawa (KSE (2), 2013)

Generalization of Quadratic Regularized and Standard Fuzzy c-Means Clustering with Respect to Regularization of Hard c-Means. - Yuchi Kanzawa (MDAI, 2013)

Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using an Object-Wise β-Spread Transformation. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2013)

A maximizing model of Bezdek-like spherical fuzzy c-means clustering. - Yuchi Kanzawa (FUZZ-IEEE, 2014)

On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering. - Yuchi Kanzawa (GrC, 2014)

On Kernelization for a Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means Clustering. - Yuchi Kanzawa (MDAI, 2014)

On Bezdek-type fuzzy clustering for categorical multivariate data. - Yuchi Kanzawa (SCIS&ISIS, 2014)

Relational Fuzzy c-Lines Clustering Derived from Kernelization of Fuzzy c-Lines. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Fuzzy Co-Clustering Algorithms Based on Fuzzy Relational Clustering and TIBA Imputation. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Fuzzy clustering based on α-divergence for spherical data and for categorical multivariate data. - Yuchi Kanzawa (FUZZ-IEEE, 2015)

On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data. - Yuchi Kanzawa (MDAI, 2015)

Sequential Cluster Extraction Using Power-Regularized Possibilistic c-Means. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2015)

A Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2015)

A Maximizing Model of Spherical Bezdek-Type Fuzzy Multi-Medoids Clustering. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Bezdek-Type Fuzzified Co-Clustering Algorithm. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2015)

On Bezdek-Type Possibilistic Clustering for Spherical Data, Its Kernelization, and Spectral Clustering Approach. - Yuchi Kanzawa (MDAI, 2016)

On Possibilistic Clustering Algorithms Based on Noise Clustering. - Yuchi Kanzawa (SCIS&ISIS, 2016)

Power-Regularized Fuzzy c-Means Clustering with a Fuzzification Parameter Less Than One. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2016)

Semi-supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices. - Yuchi Kanzawa (Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017)

Fuzzy co-clustering induced by q-multinomial mixture models. - Yuchi Kanzawa (FUZZ-IEEE, 2017)

On Fuzzy Clustering for Categorical Multivariate Data Induced by Polya Mixture Models. - Yuchi Kanzawa (MDAI, 2017)

Comparison of Fuzzy Co-clustering Methods in Collaborative Filtering-Based Recommender System. - Tadafumi Kondo; Yuchi Kanzawa (MDAI, 2017)

Generalized Fuzzy c-Means Clustering and Its Theoretical Properties. - Yuchi Kanzawa; Sadaaki Miyamoto (MDAI, 2018)

On Fuzzy Clustering for Incomplete Spherical Data and for Incomplete Multivariate Categorical Data. - Yuchi Kanzawa (SCIS&ISIS, 2018)

Performance Comparison of Collaborative Filtering Using Fuzzy Clustering for Spherical Data. - Tadafumi Kondo; Yuchi Kanzawa (SCIS&ISIS, 2018)

On Tsallis Entropy-Based and Bezdek-Type Fuzzy Latent Semantics Analysis. - Yuchi Kanzawa (SMC, 2018)

q-Divergence-Based Relational Fuzzy c-Means Clustering. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Power-Regularized Fuzzy Clustering for Spherical Data. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Fuzzy Clustering Methods for Categorical Multivariate Data Based on q-Divergence. - Tadafumi Kondo; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2018)

On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy. - Yuchi Kanzawa (MDAI, 2019)

Fuzzy Clustering Method for Spherical Data Based on q-Divergence. - Masayuki Higashi; Tadafumi Kondo; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Regularized Fuzzy c-Means Clustering and its Behavior at Point of Infinity. - Yuchi Kanzawa; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Collaborative Filtering Using Fuzzy Clustering for Categorical Multivariate Data Based on q-Divergence. - Tadafumi Kondo; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Generalization Property of Fuzzy Classification Function for Tsallis Entropy-Regularization of Bezdek-Type Fuzzy C-Means Clustering. - Yuchi Kanzawa (MDAI, 2020)

On Fuzzy Clustering Algorithms for Nominal Data. - Yuchi Kanzawa (SCIS/ISIS, 2020)

Tsallis Entropy-Based Fuzzy Latent Semantics Analysis. - Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2020)

q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data. - Yuchi Kanzawa (MDAI, 2021)

Generalized Fuzzy c-Means Clustering and its Property of Fuzzy Classification Function. - Yuchi Kanzawa; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2021)

On Some Fuzzy Clustering Algorithms for Time-Series Data. - Mizuki Fujita; Yuchi Kanzawa (IUKM, 2022)

On Some Fuzzy Clustering Algorithms with Cluster-Wise Covariance. - Toshiki Ishii; Yuchi Kanzawa (IUKM, 2022)

On an Multi-directional Searching Algorithm for Two Fuzzy Clustering Methods for Categorical Multivariate Data. - Kazune Suzuki; Yuchi Kanzawa (IUKM, 2022)

On Some Fuzzy Clustering Algorithms with Dimensionality Reduction. - Masanori Kawamura; Yuchi Kanzawa (SCIS/ISIS, 2022)

Generalization of Tsallis Entropy-Based Fuzzy c-Means Clustering and its Behavior at the Infinity Point. - Yuchi Kanzawa; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2022)

On Some Fuzzy Clustering Algorithms Based on Series Models. - Tomoki Nomura; Yuchi Kanzawa (IUKM (2), 2023)

On Some Fuzzy Clustering for Series Data. - Yuto Suzuki; Yuchi Kanzawa (IUKM (2), 2023)

A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size. - Yuchi Kanzawa (MDAI, 2023)

Three Fuzzy c-Shapes Clustering Algorithms for Series Data. - Mizuki Fujita; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Collaborative Filtering with q-Divergence-Based Relational Fuzzy c-Means Clustering. - Yuchi Kanzawa; Kaoru Atsuta; Genki Midorikawa (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Collaborative filtering with q-divergence-based fuzzy clustering for spherical data. - Yuchi Kanzawa; Tadafumi Kondo (J. Ambient Intell. Humaniz. Comput., 2023)

Three Fuzzy Clustering Algorithms for Nominal Data: Enhancement Through Tsallis Entropy-Based Feature Weighting and Q-Divergence-Based Fuzzification. - Yuchi Kanzawa (FUZZ, 2024)

On Some Variants for Anticlustering. - Yuchi Kanzawa; Vicenç Torra (SCIS/ISIS, 2024)

Some Variants of Fuzzy $c$-Directions Clustering Algorithms for Spherical Data. - Haruki Kinoshita; Yuchi Kanzawa (SCIS/ISIS, 2024)

On Variants of Fuzzy Clustering Algorithms with Dimension Reduction. - Haruki Kobayashi; Yuchi Kanzawa (SCIS/ISIS, 2024)

On Two Variants of Fuzzy Clustering for Relational Data. - Shujin Saga; Yuchi Kanzawa (SCIS/ISIS, 2024)

Two Fuzzy Clustering Algorithms Based on ARMA Model. - Tomoki Nomura; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2024)

On Sharma-Mittal Divergence-Regularized Fuzzy c-Means Clustering and Its Alternative. - Yuchi Kanzawa (MDAI, 2025)

Tsallis Entropy-Regularized Fuzzy Classification Maximum Likelihood Clustering with a t-Distribution. - Yuta Suzuki; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2025)

q-Divergence-Based Fuzzy c-Linear Gaussian State Space Model. - Tomoki Nomura; Yuchi Kanzawa (J. Adv. Comput. Intell. Intell. Informatics, 2025)