Yuchi Kanzawa

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 41

Top Topics

Gustafson Kessel

Multivariate Data

Kullback Leibler

Top Venues

J. Adv. Comput. Intell. Intell. Informatics

Publications

Yuchi Kanzawa
Three Fuzzy Clustering Algorithms for Nominal Data: Enhancement Through Tsallis Entropy-Based Feature Weighting and Q-Divergence-Based Fuzzification. FUZZ (2024)
Yuchi Kanzawa, Tadafumi Kondo
Collaborative filtering with q-divergence-based fuzzy clustering for spherical data. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Yuchi Kanzawa, Kaoru Atsuta, Genki Midorikawa
-Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 27 (6) (2023)
Mizuki Fujita, Yuchi Kanzawa
-Shapes Clustering Algorithms for Series Data. J. Adv. Comput. Intell. Intell. Informatics 27 (5) (2023)
Yuto Suzuki, Yuchi Kanzawa
On Some Fuzzy Clustering for Series Data. IUKM (2) (2023)
Tomoki Nomura, Yuchi Kanzawa
On Some Fuzzy Clustering Algorithms Based on Series Models. IUKM (2) (2023)
Yuchi Kanzawa
A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size. MDAI (2023)
Toshiki Ishii, Yuchi Kanzawa
On Some Fuzzy Clustering Algorithms with Cluster-Wise Covariance. IUKM (2022)
Yuchi Kanzawa, Sadaaki Miyamoto
-Means Clustering and its Behavior at the Infinity Point. J. Adv. Comput. Intell. Intell. Informatics 26 (6) (2022)
Masanori Kawamura, Yuchi Kanzawa
On Some Fuzzy Clustering Algorithms with Dimensionality Reduction. SCIS/ISIS (2022)
Kazune Suzuki, Yuchi Kanzawa
On an Multi-directional Searching Algorithm for Two Fuzzy Clustering Methods for Categorical Multivariate Data. IUKM (2022)
Mizuki Fujita, Yuchi Kanzawa
On Some Fuzzy Clustering Algorithms for Time-Series Data. IUKM (2022)
Yuchi Kanzawa
q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data. MDAI (2021)
Yuchi Kanzawa, Sadaaki Miyamoto
-Means Clustering and its Property of Fuzzy Classification Function. J. Adv. Comput. Intell. Intell. Informatics 25 (1) (2021)
Yuchi Kanzawa
On Fuzzy Clustering Algorithms for Nominal Data. SCIS/ISIS (2020)
Yuchi Kanzawa
Tsallis Entropy-Based Fuzzy Latent Semantics Analysis. J. Adv. Comput. Intell. Intell. Informatics 24 (1) (2020)
Yuchi Kanzawa
Generalization Property of Fuzzy Classification Function for Tsallis Entropy-Regularization of Bezdek-Type Fuzzy C-Means Clustering. MDAI (2020)
Masayuki Higashi, Tadafumi Kondo, Yuchi Kanzawa
-Divergence. J. Adv. Comput. Intell. Intell. Informatics 23 (3) (2019)
Yuchi Kanzawa, Sadaaki Miyamoto
-Means Clustering and its Behavior at Point of Infinity. J. Adv. Comput. Intell. Intell. Informatics 23 (3) (2019)
Yuchi Kanzawa
On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy. MDAI (2019)
Tadafumi Kondo, Yuchi Kanzawa
-Divergence. J. Adv. Comput. Intell. Intell. Informatics 23 (3) (2019)
Yuchi Kanzawa
-Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 22 (1) (2018)
Tadafumi Kondo, Yuchi Kanzawa
Performance Comparison of Collaborative Filtering Using Fuzzy Clustering for Spherical Data. SCIS&ISIS (2018)
Yuchi Kanzawa, Sadaaki Miyamoto
Generalized Fuzzy c-Means Clustering and Its Theoretical Properties. MDAI (2018)
Tadafumi Kondo, Yuchi Kanzawa
-Divergence. J. Adv. Comput. Intell. Intell. Informatics 22 (4) (2018)
Yuchi Kanzawa
On Fuzzy Clustering for Incomplete Spherical Data and for Incomplete Multivariate Categorical Data. SCIS&ISIS (2018)
Yuchi Kanzawa
On Tsallis Entropy-Based and Bezdek-Type Fuzzy Latent Semantics Analysis. SMC (2018)
Yuchi Kanzawa
Power-Regularized Fuzzy Clustering for Spherical Data. J. Adv. Comput. Intell. Intell. Informatics 22 (2) (2018)
Tadafumi Kondo, Yuchi Kanzawa
Comparison of Fuzzy Co-clustering Methods in Collaborative Filtering-Based Recommender System. MDAI (2017)
Yuchi Kanzawa
Fuzzy co-clustering induced by q-multinomial mixture models. FUZZ-IEEE (2017)
Yuchi Kanzawa
On Fuzzy Clustering for Categorical Multivariate Data Induced by Polya Mixture Models. MDAI (2017)
Yuchi Kanzawa
Semi-supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices. Fuzzy Sets, Rough Sets, Multisets and Clustering (2017)
Yuchi Kanzawa
On Bezdek-Type Possibilistic Clustering for Spherical Data, Its Kernelization, and Spectral Clustering Approach. MDAI (2016)
Yuchi Kanzawa
-Means Clustering with a Fuzzification Parameter Less Than One. J. Adv. Comput. Intell. Intell. Informatics 20 (4) (2016)
Yuchi Kanzawa
On Possibilistic Clustering Algorithms Based on Noise Clustering. SCIS&ISIS (2016)
Yuchi Kanzawa
A Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means. J. Adv. Comput. Intell. Intell. Informatics 19 (5) (2015)
Yuchi Kanzawa
On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data. MDAI (2015)
Yuchi Kanzawa
A Maximizing Model of Spherical Bezdek-Type Fuzzy Multi-Medoids Clustering. J. Adv. Comput. Intell. Intell. Informatics 19 (6) (2015)
Yuchi Kanzawa
Sequential Cluster Extraction Using Power-Regularized Possibilistic c-Means. J. Adv. Comput. Intell. Intell. Informatics 19 (1) (2015)
Yuchi Kanzawa
Fuzzy clustering based on α-divergence for spherical data and for categorical multivariate data. FUZZ-IEEE (2015)
Yuchi Kanzawa
Bezdek-Type Fuzzified Co-Clustering Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19 (6) (2015)
Yuchi Kanzawa
On Kernelization for a Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means Clustering. MDAI (2014)
Yuchi Kanzawa
On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering. GrC (2014)
Yuchi Kanzawa
On Bezdek-type fuzzy clustering for categorical multivariate data. SCIS&ISIS (2014)
Yuchi Kanzawa
A maximizing model of Bezdek-like spherical fuzzy c-means clustering. FUZZ-IEEE (2014)
Yuchi Kanzawa
Fuzzy Co-Clustering Algorithms Based on Fuzzy Relational Clustering and TIBA Imputation. J. Adv. Comput. Intell. Intell. Informatics 18 (2) (2014)
Yuchi Kanzawa
Relational Fuzzy c-Lines Clustering Derived from Kernelization of Fuzzy c-Lines. J. Adv. Comput. Intell. Intell. Informatics 18 (2) (2014)
Yuchi Kanzawa
Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using an Object-Wise β-Spread Transformation. J. Adv. Comput. Intell. Intell. Informatics 17 (4) (2013)
Yuchi Kanzawa
Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using a Quadratic Programming-Based Object-Wise β-Spread Transformation. KSE (2) (2013)
Yuchi Kanzawa
Generalization of Quadratic Regularized and Standard Fuzzy c-Means Clustering with Respect to Regularization of Hard c-Means. MDAI (2013)
Yuchi Kanzawa
Relational fuzzy c-lines derived from kernel fuzzy c-lines. SCIS&ISIS (2012)
Yuchi Kanzawa, Yasunori Endo
On FNM-based and RFCM-based fuzzy co-clustering algorithms. FUZZ-IEEE (2012)
Yuchi Kanzawa
Entropy-Regularized Fuzzy Clustering for Non-Euclidean Relational Data and Indefinite Kernel Data. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Yuchi Kanzawa
Comparison of imputation strategies in FNM-based and RFCM-based fuzzy co-clustering. SCIS&ISIS (2012)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Yuchi Kanzawa
FNM-based and RFCM-based fuzzy clustering for tri-relational data. SCIS&ISIS (2012)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis. J. Adv. Comput. Intell. Intell. Informatics 16 (1) (2012)
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) (2011)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data. J. Adv. Comput. Intell. Intell. Informatics 15 (1) (2011)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
On hard and fuzzy c-means clustering with conditionally positive definite kernel. FUZZ-IEEE (2011)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means. J. Adv. Comput. Intell. Intell. Informatics 15 (8) (2011)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
On kernel fuzzy c-means for data with tolerance using explicit mapping for kernel data analysis. FUZZ-IEEE (2010)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
-Means Clustering Algorithms. MDAI (2010)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Fuzzy c-Lines for Data with Tolerance. IFSA/EUSFLAT Conf. (2009)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
-Means Clustering Algorithms. MDAI (2009)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Entropy regularized fuzzy C-lines for data with tolerance. FUZZ-IEEE (2009)
Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto
On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. GrC (2009)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Fuzzy classification function of fuzzy c-means algorithms for data with tolerance. FUZZ-IEEE (2008)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
-Means Algorithms for Data with Tolerance Using Kernel Functions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2008)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function. MDAI (2008)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function. GrC (2008)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
-Means Algorithms for Data with Tolerance Based on Opposite Criterions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2007)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions. FUZZ-IEEE (2006)