Yuchi Kanzawa

According to our database, Yuchi Kanzawa authored at least 71 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Three Fuzzy Clustering Algorithms for Nominal Data: Enhancement Through Tsallis Entropy-Based Feature Weighting and Q-Divergence-Based Fuzzification.

Yuchi Kanzawa

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023

Collaborative filtering with q-divergence-based fuzzy clustering for spherical data.

Yuchi Kanzawa, Tadafumi Kondo

J. Ambient Intell. Humaniz. Comput., December, 2023

Collaborative Filtering with <i>q</i>-Divergence-Based Relational Fuzzy <i>c</i>-Means Clustering.

Yuchi Kanzawa, Kaoru Atsuta, Genki Midorikawa

J. Adv. Comput. Intell. Intell. Informatics, November, 2023

Three Fuzzy <i>c</i>-Shapes Clustering Algorithms for Series Data.

Mizuki Fujita, Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, September, 2023

A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2023

On Some Fuzzy Clustering for Series Data.

Yuto Suzuki, Yuchi Kanzawa

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

On Some Fuzzy Clustering Algorithms Based on Series Models.

Tomoki Nomura, Yuchi Kanzawa

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

2022

Generalization of Tsallis Entropy-Based Fuzzy <i>c</i>-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 with Dimensionality Reduction.

Masanori Kawamura, Yuchi Kanzawa

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

On an Multi-directional Searching Algorithm for Two Fuzzy Clustering Methods for Categorical Multivariate Data.

Kazune Suzuki, Yuchi Kanzawa

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

On Some Fuzzy Clustering Algorithms with Cluster-Wise Covariance.

Toshiki Ishii, Yuchi Kanzawa

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

On Some Fuzzy Clustering Algorithms for Time-Series Data.

Mizuki Fujita, Yuchi Kanzawa

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

2021

Generalized Fuzzy <i>c</i>-Means Clustering and its Property of Fuzzy Classification Function.

Yuchi Kanzawa, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2021

q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2020

Tsallis Entropy-Based Fuzzy Latent Semantics Analysis.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2020

On Fuzzy Clustering Algorithms for Nominal Data.

Yuchi Kanzawa

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

Generalization Property of Fuzzy Classification Function for Tsallis Entropy-Regularization of Bezdek-Type Fuzzy C-Means Clustering.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

2019

Collaborative Filtering Using Fuzzy Clustering for Categorical Multivariate Data Based on <i>q</i>-Divergence.

Tadafumi Kondo, Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2019

Regularized Fuzzy <i>c</i>-Means Clustering and its Behavior at Point of Infinity.

Yuchi Kanzawa, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2019

Fuzzy Clustering Method for Spherical Data Based on <i>q</i>-Divergence.

Masayuki Higashi, Tadafumi Kondo, Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2019

On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

2018

Fuzzy Clustering Methods for Categorical Multivariate Data Based on <i>q</i>-Divergence.

Tadafumi Kondo, 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

<i>q</i>-Divergence-Based Relational Fuzzy <i>c</i>-Means Clustering.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2018

On Tsallis Entropy-Based and Bezdek-Type Fuzzy Latent Semantics Analysis.

Yuchi Kanzawa

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Performance Comparison of Collaborative Filtering Using Fuzzy Clustering for Spherical Data.

Tadafumi Kondo, Yuchi Kanzawa

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

On Fuzzy Clustering for Incomplete Spherical Data and for Incomplete Multivariate Categorical Data.

Yuchi Kanzawa

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Generalized Fuzzy c-Means Clustering and Its Theoretical Properties.

Yuchi Kanzawa, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

2017

Comparison of Fuzzy Co-clustering Methods in Collaborative Filtering-Based Recommender System.

Tadafumi Kondo, Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

On Fuzzy Clustering for Categorical Multivariate Data Induced by Polya Mixture Models.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

Fuzzy co-clustering induced by q-multinomial mixture models.

Yuchi Kanzawa

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Semi-supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices.

Yuchi Kanzawa

Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

2016

Power-Regularized Fuzzy <i>c</i>-Means Clustering with a Fuzzification Parameter Less Than One.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2016

On Possibilistic Clustering Algorithms Based on Noise Clustering.

Yuchi Kanzawa

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

On Bezdek-Type Possibilistic Clustering for Spherical Data, Its Kernelization, and Spectral Clustering Approach.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

2015

Bezdek-Type Fuzzified Co-Clustering Algorithm.

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

A Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2015

Sequential Cluster Extraction Using Power-Regularized Possibilistic c-Means.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2015

On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

Fuzzy clustering based on α-divergence for spherical data and for categorical multivariate data.

Yuchi Kanzawa

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

Fuzzy Co-Clustering Algorithms Based on Fuzzy Relational Clustering and TIBA Imputation.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2014

Relational Fuzzy c-Lines Clustering Derived from Kernelization of Fuzzy c-Lines.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2014

On Bezdek-type fuzzy clustering for categorical multivariate data.

Yuchi Kanzawa

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

On Kernelization for a Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means Clustering.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering.

Yuchi Kanzawa

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

A maximizing model of Bezdek-like spherical fuzzy c-means clustering.

Yuchi Kanzawa

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

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

Generalization of Quadratic Regularized and Standard Fuzzy c-Means Clustering with Respect to Regularization of Hard c-Means.

Yuchi Kanzawa

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using a Quadratic Programming-Based Object-Wise β-Spread Transformation.

Yuchi Kanzawa

Proceedings of the Knowledge and Systems Engineering, 2013

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

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

Entropy-Regularized Fuzzy Clustering for Non-Euclidean Relational Data and Indefinite Kernel Data.

Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2012

Comparison of imputation strategies in FNM-based and RFCM-based fuzzy co-clustering.

Yuchi Kanzawa

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

FNM-based and RFCM-based fuzzy clustering for tri-relational data.

Yuchi Kanzawa

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Relational fuzzy c-lines derived from kernel fuzzy c-lines.

Yuchi Kanzawa

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

On FNM-based and RFCM-based fuzzy co-clustering algorithms.

Yuchi Kanzawa, Yasunori Endo

Proceedings of the FUZZ-IEEE 2012, 2012

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

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

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

2010

Indefinite Kernel Fuzzy <i>c</i>-Means Clustering Algorithms.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

2009

Some Pairwise Constrained Semi-Supervised Fuzzy <i>c</i>-Means Clustering Algorithms.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors.

Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Entropy regularized fuzzy C-lines for data with tolerance.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2009, 2009

Fuzzy c-Lines for Data with Tolerance.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008

Fuzzy <i>c</i>-Means Algorithms for Data with Tolerance Using Kernel Functions.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2008

Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Fuzzy classification function of fuzzy c-means algorithms for data with tolerance.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2008, 2008

2007

Fuzzy <i>c</i>-Means Algorithms for Data with Tolerance Based on Opposite Criterions.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

2006

Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions.

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006