Yuchi Kanzawa

Orcid: 0000-0002-4421-3513

According to our database1, Yuchi Kanzawa authored at least 70 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Collaborative filtering with q-divergence-based fuzzy clustering for spherical data.
J. Ambient Intell. Humaniz. Comput., December, 2023

Collaborative Filtering with <i>q</i>-Divergence-Based Relational Fuzzy <i>c</i>-Means Clustering.
J. Adv. Comput. Intell. Intell. Informatics, November, 2023

Three Fuzzy <i>c</i>-Shapes Clustering Algorithms for Series Data.
J. Adv. Comput. Intell. Intell. Informatics, September, 2023

A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2023

On Some Fuzzy Clustering for Series Data.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

On Some Fuzzy Clustering Algorithms Based on Series Models.
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.
J. Adv. Comput. Intell. Intell. Informatics, 2022

On Some Fuzzy Clustering Algorithms with Dimensionality Reduction.
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.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

On Some Fuzzy Clustering Algorithms with Cluster-Wise Covariance.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

On Some Fuzzy Clustering Algorithms for Time-Series Data.
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.
J. Adv. Comput. Intell. Intell. Informatics, 2021

q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

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

On Fuzzy Clustering Algorithms for Nominal Data.
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.
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.
J. Adv. Comput. Intell. Intell. Informatics, 2019

Regularized Fuzzy <i>c</i>-Means Clustering and its Behavior at Point of Infinity.
J. Adv. Comput. Intell. Intell. Informatics, 2019

Fuzzy Clustering Method for Spherical Data Based on <i>q</i>-Divergence.
J. Adv. Comput. Intell. Intell. Informatics, 2019

On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

2018
Fuzzy Clustering Methods for Categorical Multivariate Data Based on <i>q</i>-Divergence.
J. Adv. Comput. Intell. Intell. Informatics, 2018

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

<i>q</i>-Divergence-Based Relational Fuzzy <i>c</i>-Means Clustering.
J. Adv. Comput. Intell. Intell. Informatics, 2018

On Tsallis Entropy-Based and Bezdek-Type Fuzzy Latent Semantics Analysis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Performance Comparison of Collaborative Filtering Using Fuzzy Clustering for Spherical Data.
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.
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.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

2017
Comparison of Fuzzy Co-clustering Methods in Collaborative Filtering-Based Recommender System.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

On Fuzzy Clustering for Categorical Multivariate Data Induced by Polya Mixture Models.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

Fuzzy co-clustering induced by q-multinomial mixture models.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Semi-supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices.
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.
J. Adv. Comput. Intell. Intell. Informatics, 2016

On Possibilistic Clustering Algorithms Based on Noise Clustering.
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.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

2015
Bezdek-Type Fuzzified Co-Clustering Algorithm.
J. Adv. Comput. Intell. Intell. Informatics, 2015

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

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

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

On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

Fuzzy clustering based on α-divergence for spherical data and for categorical multivariate data.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

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

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

On Bezdek-type fuzzy clustering for categorical multivariate data.
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.
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.
Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

A maximizing model of Bezdek-like spherical fuzzy c-means clustering.
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.
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.
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.
Proceedings of the Knowledge and Systems Engineering, 2013

2012
Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel.
J. Adv. Comput. Intell. Intell. Informatics, 2012

On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis.
J. Adv. Comput. Intell. Intell. Informatics, 2012

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

Comparison of imputation strategies in FNM-based and RFCM-based fuzzy co-clustering.
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.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Relational fuzzy c-lines derived from kernel fuzzy c-lines.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

On FNM-based and RFCM-based fuzzy co-clustering algorithms.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data.
J. Adv. Comput. Intell. Intell. Informatics, 2011

KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means.
J. Adv. Comput. Intell. Intell. Informatics, 2011

Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization.
J. Adv. Comput. Intell. Intell. Informatics, 2011

2010
Indefinite Kernel Fuzzy <i>c</i>-Means Clustering Algorithms.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

2009
Some Pairwise Constrained Semi-Supervised Fuzzy <i>c</i>-Means Clustering Algorithms.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Entropy regularized fuzzy C-lines for data with tolerance.
Proceedings of the FUZZ-IEEE 2009, 2009

Fuzzy c-Lines for Data with Tolerance.
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.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function.
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.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Fuzzy classification function of fuzzy c-means algorithms for data with tolerance.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Fuzzy <i>c</i>-Means Algorithms for Data with Tolerance Based on Opposite Criterions.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

2006
Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006


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