KANZAWA Yuuchi

J-GLOBAL         Last updated: Dec 13, 2018 at 17:04
 
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Name
KANZAWA Yuuchi
Affiliation
Shibaura Institute of Technology
Section
College of Engineering, Department of Communications Engineering, College of Engineering Electrical Engineering and Computer Science Course Department of Electrical Communication

Research Areas

 
 

Published Papers

 
Regularized Fuzzy c-Means Clustering and Its Behavior at Point of Infinity
MIYAMOTO Sadaaki, KANZAWA Yuuchi
Journal of Advanced Computational Intelligence and Intelligent Informatics   to appear    2019   [Refereed]
Collaborative Filtering Using Fuzzy Clustering for Categorical Multivariate Data Based on q-Divergence
KANZAWA Yuuchi
Journal of Advanced Computational Intelligence and Intelligent Informatics   to appear    2019   [Refereed]
Fuzzy Clustering Method for Spherical Data > Based on q-Divergence
KANZAWA Yuuchi
Journal of Advanced Computational Intelligence and Intelligent Informatics   to appear    2019   [Refereed]
Performance Comparison of Collaborative Filtering Using Fuzzy Clustering for Spherical Data
Tadafumi Kondo; Yuchi Kanzawa
Proc. SCIS&ISIS2018   644-647   Dec 2018   [Refereed]
On Fuzzy Clustering for Incomplete Spherical Data and for Incomplete Multivariate<BR>Categorical Data
Yuchi Kanzawa;
Proc. SCIS&ISIS 2018   638-643   Dec 2018   [Refereed]
Generalized Fuzzy c-Means Clustering and Its Theoretical Properties
Yuchi Kanzawa; Sadaaki Miyamoto
LNAI   11144 243-254   Oct 2018   [Refereed]
On Tsallis Entropy-based and Bezdek-type Fuzzy Latent Semantics Analysis
Yuchi Kanzawa;
Proc. IEEE SMC 2018   3675-3679   Oct 2018   [Refereed]
Fuzzy Clustering Methods for Categorical Multivariate Data Based on q-Divergence
Tadafumi Kondo; Yuchi Kanzawa
JACIII   22(4) 524-536   Jul 2018   [Refereed]
Power-Regularized Fuzzy Clustering for Spherical Data
Yuchi Kanzawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   22(2) 163-171   Mar 2018   [Refereed]
q-Divergence-based Relational Fuzzy c-Means Clustering
Yuchi Kanzawa;
Journal of Advanced Computational Intelligence and Intelligent Informatics   22(1) 34-43   Jan 2018   [Refereed]
Yuchi Kanzawa;
LNCS   10571 89-102   Oct 2017   [Refereed]
Comparison of Vectorial and Spherical Methods in Fuzzy Clustering-based Classifier
Masayuki Higashi; Yuchi Kanzawa
Proc. MDAI2017   36-48   Oct 2017   [Refereed]
On robustness to outliers for two abstract fuzzy clustering optimization problems
Yuchi Kanzawa;
IFCS-2017 Conference Program and Book of Abstracts   138-138   Aug 2017   [Refereed]
Yuchi Kanzawa;
Proc. FUZZ-IEEE2017   9880 178-190   Jul 2017   [Refereed]
Tadafumi Kondo; Yuchi Kanzawa
LNCS   10571 103-116   Oct 2017   [Refereed]
Semi-supervised fuzzy c-means algorithms by revising dissimilarity/kernel matrices
Yuchi Kanzawa
Studies in Computational Intelligence   671 45-61   Jan 2017   [Refereed]
Power-Regularized Fuzzy c-Means Clustering with a Fuzzification Parameter Less than One
Yuchi Kanzawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   20(4) 561-570   Jul 2016   [Refereed]
Bezdek-Type Fuzzified Co-Clustering Algorithm
Yuchi Kanzawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   19(6) 852-860   Nov 2015   [Refereed]
A Maximizing Model of Spherical Bezdek-Type Fuzzy Multi-Medoids Clustering
Yuchi Kanzawa;
Journal of Advanced Computational Intelligence and Intelligent Informatics   19(6) 738-746   Nov 2015   [Refereed]
A Note on Non-Hierarchical Linguistic-based clustering
Naohiko Kinoshita; Yasunori Endo; Yuchi Kanzawa; Sadaaki Miyamoto
Proc. MDAI2015   25-35   Sep 2015   [Refereed]
A Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means
Yuchi Kanzawa;
Journal of Advanced Computational Intelligence and Intelligent Informatics   19(5) 662-669   Sep 2015   [Refereed]
Yuchi Kanzawa;
Proc. FUZZ-IEEE2015   #15091-#15091   Aug 2015   [Refereed]
Sequential Cluster Extraction Using Power-Regularized Possibilistic c-Means
Yuchi Kanzawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   19(1) 67-73   Jan 2015   [Refereed]
On Bezdek-type Fuzzy Clustering for Categorical Multivariate Data
Yuchi Kanzawa
Proc. SCIS&ISIS 2014   694-699   Dec 2014   [Refereed]
Yuchi Kanzawa
Lecture Notes in Computer Science   8825 108-121   Oct 2014   [Refereed]
Yuchi Kanzawa
Proc. GrC2014   121-126   Oct 2014   [Refereed]
Yuchi Kanzawa
Proc. FUZZ-IEEE2014   2482-2488   Jul 2014   [Refereed]
Relational Fuzzy c-Lines Clustering Derived from Kernelization of Fuzzy c-Lines
〇Yuchi Kanzawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   18(2) 175-181   Mar 2014   [Refereed]
Fuzzy Co-Clustering Algorithms Based on Fuzzy Relational Clustering and TIBA Imputation
〇Yuchi Kanzawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   18(2) 182-189   Mar 2014   [Refereed]
Yuchi Kanzawa
Lecture Notes in Computer Science   8234 152-165   Nov 2013   [Refereed]
Yuchi Kanzawa
Knowledge and Systems Engineering   2 29-44   Oct 2013   [Refereed]
Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using an Object-Wise beta-spread Transformation
Yuchi Kanzawa
Jounal of Advanced Computational Intelligence and Intelligent Informatics   17(4) 511-519   Jul 2013   [Refereed]
FNM-based and RFCM-based Fuzzy Clustering for Tri-Relational Data
Yuchi Kanzawa
Proc. SCIS & ISIS 2012   1982-1987   Nov 2012   [Refereed]
Comparison of Imputation Strategies in FNM-based and RFCM-based Fuzzy Co-Clustering
Yuchi Kanzawa
Proc. SCIS & ISIS 2012   1988-1993   Nov 2012   [Refereed]
Relational Fuzzy c-Lines Derived from Kernel Fuzzy c-Lines
Yuchi Kanzawa
Proc. SCIS & ISIS 2012   1561-1566   Nov 2012   [Refereed]
On Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using Object-wise beta-spread Transformation
Yuchi Kanzawa
Proc. MDAI2012   64-76   Nov 2012   [Refereed]
Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Jounal of Advanced Computational Intelligence and Intelligent Informatics   16(7) 825-830   Nov 2012   [Refereed]
Entropy-Regularized Fuzzy Clustering for non-Euclidean Relational Data and for Indefinite Kernel Data
Yuchi Kanzawa
Jounal of Advanced Computational Intelligence and Intelligent Informatics   16(7) 784-792   Nov 2012   [Refereed]
All Solution Algorithm for Parameter-Dependent Nonlinear Equations Using Affine Arithmetic
Kosuke Ihara; Yuchi Kanzawa
Proc. NOLTA2012   419-422   Oct 2012   [Refereed]
Yuchi Kanzawa; Yasunori Endo
Proc. FUZZ-IEEE2012   113-120   Jun 2012   [Refereed]
On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis
Kanzawa, Y; Endo, Y; Miyamoto, S
Jounal of Advanced Computational Intelligence and Intelligent Informatics   16(1) 162-168   Jan 2012   [Refereed]
KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Journal of Advanced Computational Intelligence and Intelligent Informatics.   15(8) 1057-1064   Oct 2011   [Refereed]
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Proc. FUZZ-IEEE 2011   816-820   Jun 2011   [Refereed]
Semi-Supervised Fuzzy c-Means Algorithm by Revising<BR>Dissimilarity Between Data
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Journal of Advanced Computational Intelligence and Intelligent Informatics   15(1) 95-101   Jan 2011   [Refereed]
Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization
Yasunori Endo; Yasushi Hasegawa; Yukihiro Hamasuna; Yuchi Kanzawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   15(1) 76-82   Jan 2011   [Refereed]
Two Semi-supervised Entropy Regularized Fuzzy c-Means
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Proc. SCIS&ISIS 2010   61-65   Dec 2010   [Refereed]
Geodesic-Dissimilarity-based Hard and Fuzzy c-Means
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Proc. SCIS&ISIS 2010   401-405   Dec 2010   [Refereed]
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Lecture Notes in Artificial Intelligence   6408 116-128   Oct 2010   [Refereed]
Hard and Fuzzy c-Means Clustering Algorithms with Geodesic Dissimilarity
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Proc. 2010 International Symposium on Nonlinear Theory and Its Application   603-606   Sep 2010   [Refereed]
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Proc. WCCI 2010 IEEE World Congress on Computational Intelligence   2424-2429   Jul 2010   [Refereed]
Yasunori Endo; Yukihiro Hamasuna; Yuchi Kanzawa; Sadaaki Miyamoto
Proc. GrC2009   148-153   Aug 2009   [Refereed]
Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Lecture Notes in Artificial Intelligence   5861 268-281   Aug 2009   [Refereed]
Fuzzy Classification Function of Fuzzy c-Means Algorithms for Data with Tolerance
Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
Japan Society for Fuzzy Theory and Intelligent Informatics   21(4) 438-451   Apr 2009   [Refereed]
Yuchi Kanzawa;Yasunori Endo; Sadaaki Miyamoto
IEICE Trans. Fundamentals   91-A(9) 2520-2534   Sep 2008   [Refereed]
Yuchi Kanzawa;Yasunori Endo; Sadaaki Miyamoto
Lecture Notes in Artificial Intelligence   LNAI5285 122-133   Jul 2008   [Refereed]
Fuzzy c-Means for Data with Tolerance by Introducing Penalty Term
Yuchi Kanwaza;Yasunori Endo; Sadaaki Miyamoto
Proc. SMCia2008   371-376   Jun 2008   [Refereed]
Yuchi Kanzawa;Yasunori Endo; Sadaaki Miyamoto
IEICE Trans. Fundamentals   E90-A(10) 2194-2202   Nov 2007   [Refereed]
Yuchi Kanzawa;Yasunori Endo; Sadaaki Miyamoto
Proc. 3rd Internatinal Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems   1753-1756   Sep 2006   [Refereed]
Yuchi Kanzawa;Yasunori Endo; Sadaaki Miyamoto
Proc. 2006 International Symposium on Nonlinear Theory and Its Applications   947-950   Sep 2006   [Refereed]
Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions
Yuchi Kanwaza;Yasunori Endo; Sadaaki Miyamoto
Proc. IEEE World Congress on Computational Intelligence (WCCI 2006)   744-750   Jul 2006   [Refereed]
A Method for Prove Existence of Solutions for Nonlinear ODE on Essentially Bounded Functional Space
Yuchi Kanzawa; Oishi, S.
Proc. 2002 International Symposium on Nonlinear Theory and its Applications   243-246   Oct 2002   [Refereed]
A Numerical Method to Prove the Existence of Solutions for Ordinary Differential Equations Using H1 Norm
Takatomi Miyata; Takao Souma; Yuchi Kanzawa; Shin'ishi Oishi; Kazuo Horiuchi
Proc. 1999 International Symposium on Nonlinear Theory and its Applications   511-514   Dec 1999   [Refereed]
A Numerical Method to Prove the Existence of Solutions for Nonlinear ODE Using Affine Arithmetic
Yuchi Kanzawa; Oishi, S.
Proc. 1999 International Symposium on Nonlinear Theory and its Applications   451-454   Dec 1999   [Refereed]

Misc

 
A Numerical Method to Prove the Existence of Solutions for Nonlinear ODE Using Affine Arithmetic II
Bulletin of Shibaura Institute of Technology   45(1) 29-34   2001
Imperfect Singular Solutions of Nonlinear Equations and a Numerical Method of Proving their Existence
IEICE Trans. Fundamentals   E82-A(6) 1062-1069   1999
Calculating Bifurcation Points with Guaranteed Accuracy
IEICE Trans. Fundamentals   E82-A(6) 1055-1061   1999
A Method of Proving the Existence of Simple Turning Points of Two-Point Boundary Value Problems Based on the Numerical Computation with Guaranteed Accuracy
IEICE Trans. Fundamentals   E81-A(9) 1892-1897   1998
A Semi-Supervised Entropy Regularized Fuzzy c-Means
Proc. NOLTA2009      2009
Entropy Regularized Fuzzy c-Lines for Data with Tolerance
Proc. FUZZ-IEEE2009   1155-1161   2009
Fuzzy c-Lines for Data with Tolerance
Proc. IFSA/EUSFLAT2009   861-866   2009
Entropy Regularized Fuzzy c-Means for Data with Tolerance introducing Penalty Term in Feature Space
Proc. in Joint 4th Internationsl Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems   578-583   2008
Kernelized Fuzzy c-Means for Data with Tolerance based on Opposite Criterions
第24回ファジィシステムシンポジウム講演論文集   127-132   2008
Fuzzy C-Means for Data with Tolerance Introducing Penalty Term in Feature Space
Proc. in 2008 International Symposium on Nonlinear Theory and Its Applications   396-399   2008
Fuzzy Classification Function of Fuzzy c-Means Algorithms for Data with Tolerance
Proc. in 2008 World Congress on Computational Intelligence   1081-1088   2008
A Method of Proving Existence of Solution Curve for Nonlinear Equation using Affine Arithmetic
Proc. 12th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics      2006
A Method of Proving Existence of Solution Curve for Nonlinear Equation using Affine Arithmetic
Proc. 2006 International Symposium on Nonlinear Theory and Its Applications      2006
A Method ro Prove Existence of Solutions for Nonlinear ODE on Essentially Bounded Functional Space
Proc. 2002 International Symposium on Nonlinear Theory and its Applications   243-246   2002
A Numerical Method of Proving the Existence of Solutions for Nonlinear ODEs Using Affine Arithmetic
Proc. 2002 International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics   49   2002
A Method to Prove Existence of Solutions for Nonlinear ODE on Essentially Bounded Functional Space
Proc. 2001 International Symposium on Nonlinear Theory and its Applications   127-131   2001
A Numerical Method to Prove the Existence of Solutions for Nonlinear ODE Using Affine Arithmetic II
Proc. 2000 International Symposium on Nonlinear Theory and its Applications   312-315   2000
A Numerical Methodm of Proving the Existence pf Periodic Solutions for Nonlinear ODEs
Proc. 1998 International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics   73-74   1998
A Numerical Method to Prove the Existence of Solutions for Ordinary Differential Equations
Proc. 1998 International Symposium on Nonlinear Theory and its Applications   991-994   1998
A Method to Prove the Existence of Periodic Solutions for Nonlinear Ordinary Differential Equations
Proc. 1998 International Symposium on Nonlinear Theory and its Applications   983-986   1998
Numerical Validation for Nonlinear Boundary Values Problems Using Piecewise Smooth Function
Proc. 1997 International Symposium on Nonlinear Theory and its Applications   361-364   1997
A Numerical Method to Prove the Existence of Solutions for Nonlinear Operator Equations
Proc. 1997 International Symposium on Nonlinear Theory and its Applications   365-368   1997
Numerical Verification of Existence of Turning Points of Two-Point Boundary-value Problems
Proc. 1997 International Symposium on Nonlinear Theory and its Applications   45-48   1997
Approximate Singular Solutions of Nonlinear Equations and a Numerical Method of Proving thier Existence
Proc. 1997 International Symposium on Scientific Computing, Computer Arithmertic and Validated Numerics   29-32   1997
Numerical Validation for Nonlinear Boundary Value Problems Using Power Series Arithmetic
Proc. 1996 International Symposium on Nonlinear Theory and its Applications   467-470   1996
Numerical Method of Calculating Bifurcation Points with Guaranteed Accuracy
Proc. 1996 International Symposium on Nonlinear Theory and its Applications   475-478   1996
Approximate Singular Solutions of Nonlinear Equations and a Numerical Method of Proving thier Existence
Proc. 1996 International Symposium on Nonlinear Theory and its Applications   29-32   1996
Numerical Method of Calculating Hopf Bifurcation Point with Guaranteed Accuracy
Proc. 1995 International Symposium on Nonlinear Theory and its Applications   259-262   1995
An Approach to Trace Solution Curve of Nonlinear Equations
Proc. 1995 International Symposium on Nonlinear Theory and its Applications   431-434   1995
An Algorithm for Searching All Solutions of Parameter-Depending Nonlinear Equations
Proc. 1994 Symposium on Nonlinear Theory and its Applications   221-224   1994
A Numerical Method to Prove the Existence of Solutions for Nonlinear ODE Using Step Function Appraximation
   1999
A Numerical Method to Prove the Existence of Solutions for Ordinary Defferential Equations Using H. Norm
   1999

Books etc

 
Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms
Lecture Notes in Artificial Intelligence   2009   

Conference Activities & Talks

 
階段関数近似を用いた非線形常微分方程式の解の数値的存在検証法
KANZAWA YUCHI;OISHI SHIN'ICHI
1999年電子情報通信学会基礎・境界ソサイエティ大会講演論文集   8 Sep 1999   
Affine Arithmeticを用いた非線形常微分方程式の解の数値的存在検証法
KANZAWA YUICHI;OISHI SHIN'ICHI
電子情報通信学会技術報告   14 May 1999   
アフィン演算を用いた非線形常微分方程式の解の数値的存在検証法
KANZAWA YUICHI;OISHI SHIN'ICHI
1999年電子情報通信学会 総合大会講演論文集   27 Mar 1999   

Research Grants & Projects

 
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(C))
Project Year: 2008 - 2010    Investigator(s): Yuchi KANZAWA
In this research, conventional clustering methods for uncertain data are reviewed from the probabilistic point of view, new clustering methods are proposed for clustering, PCA, or linear clustering in the data space or in the feature space, which ...