神澤 雄智

研究成果

年別の研究成果 1994 1999 2008 2009 2012 2014 2015 2019 2022 2022

• 63 Article
• 40 Conference contribution
• 2 Paper
• 1 Chapter
• 1 その他
  • 1 Editorial

年別の研究成果

年別の研究成果

検索結果

• 2022

  Generalization of Tsallis Entropy-Based Fuzzy c-Means Clustering and its Behavior at the Infinity Point

  Kanzawa, Y. & Miyamoto, S., 2022 11月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 26, 6, p. 884-892 9 p.

  研究成果: Article › 査読

  Open Access

  • Entropy 100%
  • Clustering algorithms 71%
• 2021

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

  Kanzawa, Y. & Kondo, T., 2021, (Accepted/In press) In: Journal of Ambient Intelligence and Humanized Computing.

  研究成果: Article › 査読

  Open Access

  • Fuzzy clustering 100%
  • Collaborative filtering 98%
  • Recommender systems 34%
  • Cluster analysis 20%
  • Experiments 12%

• Generalized fuzzy c-means clustering and its property of fuzzy classification function

  Kanzawa, Y. & Miyamoto, S., 2021 1月 20, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 25, 1, p. 73-82 10 p.

  研究成果: Article › 査読

  Open Access

  • Derivatives 100%
  • Clustering algorithms 55%
  3 被引用数 (Scopus)
• 2020

  Tsallis entropy-based fuzzy latent semantics analysis

  Kanzawa, Y., 2020, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 24, 1, p. 58-64 7 p.

  研究成果: Article › 査読

  Open Access

  • Latent Class Analysis 100%
  • Entropy 65%
  • Free energy 61%
  • Semantics 52%
• 2019

  Collaborative filtering using fuzzy clustering for categorical multivariate data based on q-divergence

  Kondo, T. & Kanzawa, Y., 2019 5月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 23, 3, p. 493-501 9 p.

  研究成果: Article › 査読

  Open Access

  • Fuzzy clustering 100%
  • Collaborative filtering 98%
  • Experiments 31%
  3 被引用数 (Scopus)

• Fuzzy clustering method for spherical data based on q-divergence

  Higashi, M., Kondo, T. & Kanzawa, Y., 2019 5月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 23, 3, p. 561-570 10 p.

  研究成果: Article › 査読

  Open Access

  • Fuzzy clustering 100%
  • Clustering algorithms 52%
  • Experiments 10%
  5 被引用数 (Scopus)

• Regularized fuzzy c-means clustering and its behavior at point of infinity

  Kanzawa, Y. & Miyamoto, S., 2019 5月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 23, 3, p. 485-492 8 p.

  研究成果: Article › 査読

  Open Access

  • Clustering algorithms 100%
  • Derivatives 60%
  • Fuzzy clustering 42%
  4 被引用数 (Scopus)
• 2018

  Fuzzy clustering methods for categorical multivariate data based on q-divergence

  Kondo, T. & Kanzawa, Y., 2018 7月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 22, 4, p. 524-536 13 p.

  研究成果 › 査読

  Open Access

  • Fuzzy clustering 100%
  • Clustering algorithms 52%
  • Experiments 10%
  6 被引用数 (Scopus)

• Power-regularized fuzzy clustering for spherical data

  Kanzawa, Y., 2018 3月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 22, 2, p. 163-171 9 p.

  研究成果: Article › 査読

  Open Access

  • Fuzzy clustering 100%
  • Entropy 20%
  • Experiments 8%
  2 被引用数 (Scopus)

• Q-divergence-based relational fuzzy C-means clustering

  Kanzawa, Y., 2018 1月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 22, 1, p. 34-43 10 p.

  研究成果: Article › 査読

  Open Access

  • Clustering algorithms 100%
  1 被引用数 (Scopus)
• 2016

  Power-regularized fuzzy c-means clustering with a fuzzification parameter less than one

  Kanzawa, Y., 2016, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 20, 4, p. 561-570 10 p.

  研究成果: Article › 査読

  Open Access

  • Clustering algorithms 100%
  2 被引用数 (Scopus)
• 2015

  A maximizing model of bezdek-like spherical fuzzy c-means

  Kanzawa, Y., 2015 9月 1, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 19, 5, p. 662-669 8 p.

  研究成果: Article › 査読

  Open Access

  • Positive ions 100%
  • Experiments 28%
  11 被引用数 (Scopus)

• A maximizing model of spherical Bezdek-type fuzzy multi-medoids clustering

  Kanzawa, Y., 2015, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 19, 6, p. 738-746 9 p.

  研究成果: Article › 査読

  Open Access
  10 被引用数 (Scopus)

• Bezdek-type fuzzified co-clustering algorithm

  Kanzawa, Y., 2015, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 19, 6, p. 852-860 9 p.

  研究成果: Article › 査読

  Open Access

  • Clustering algorithms 100%
  • Fuzzy clustering 54%
  • Entropy 26%
  13 被引用数 (Scopus)

• Sequential cluster extraction using power-regularized possibilistic c-means

  Kanzawa, Y., 2015 1月 1, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 19, 1, p. 67-73 7 p.

  研究成果: Article › 査読

  Open Access

  • Entropy 100%
  • Fusion reactions 31%
  5 被引用数 (Scopus)
• 2014

  Fuzzy co-clustering algorithms based on fuzzy relational clustering and TIBA imputation

  Kanzawa, Y., 2014 3月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 18, 2, p. 182-189 8 p.

  研究成果: Article › 査読

  Open Access

  • Clustering algorithms 100%
  • Entropy 61%
  12 被引用数 (Scopus)

• Relational fuzzy c-lines clustering derived from kernelization of fuzzy c-lines

  Kanzawa, Y., 2014 3月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 18, 2, p. 175-181 7 p.

  研究成果: Article › 査読

  Open Access

  • Fuzzy clustering 100%
  • Clustering algorithms 78%
  2 被引用数 (Scopus)
• 2013

  Relational fuzzy c-means and kernel fuzzy c-means using an object-wise β -spread transformation

  Kanzawa, Y., 2013 7月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 17, 4, p. 511-519 9 p.

  研究成果: Article › 査読
  2 被引用数 (Scopus)
• 2012

  All Solution Algorithm for Parameter-Dependent Nonlinear Equations Using Affine Arithmetic

  Ihara, K. & Kanzawa, Y., 2012 10月 22, In: Proc. NOLTA2012. p. 419-422

  研究成果: Article › 査読

• Entropy-Regularized Fuzzy Clustering for non-Euclidean Relational Data and for Indefinite Kernel Data

  Kanzawa, Y., 2012 11月 20, In: Jounal of Advanced Computational Intelligence and Intelligent Informatics. 16, p. 784-792

  研究成果: Article › 査読

• Entropy-regularized fuzzy clustering for non-euclidean relational data and indefinite kernel data

  Kanzawa, Y., 2012 11月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 16, 7, p. 784-792 9 p.

  研究成果: Article › 査読

  Open Access

  • Fuzzy clustering 100%
  • Entropy 73%
  • Experiments 10%
  8 被引用数 (Scopus)

• Hard and fuzzy c-means clustering with conditionally positive definite kernel

  Kanzawa, Y., Yasunori Endo, Y. & Miyamoto, S., 2012 11月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 16, 7, p. 825-830 6 p.

  研究成果: Article › 査読

  Open Access

  • Clustering algorithms 100%
  • Entropy 92%

• On kernel fuzzy c-means for data with tolerance using explicit mapping for kernel data analysis

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2012 1月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 16, 1, p. 162-168 7 p.

  研究成果: Article › 査読

  • Principal component analysis 100%

• On Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using Object-wise beta-spread Transformation

  Kanzawa, Y., 2012 11月 21, In: Proc. MDAI2012. p. 64-76

  研究成果: Article › 査読
• 2011

  Fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization

  Endo, Y., Hasegawa, Y., Hamasuna, Y. & Kanzawa, Y., 2011 1月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 15, 1, p. 76-82 7 p.

  研究成果: Article › 査読

  Open Access

  • Uncertainty 100%
  • Clustering algorithms 96%
  • Measurement errors 54%
  14 被引用数 (Scopus)

• KL-divergence-based and manhattan distance-based semisupervised entropy-regularized fuzzy c-means

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2011 10月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 15, 8, p. 1057-1064 8 p.

  研究成果: Article › 査読

  Open Access

  • Entropy 100%
  • Supervisory personnel 27%
  • Clustering algorithms 21%
  • Numerical methods 21%
  • Experiments 8%
  2 被引用数 (Scopus)

• Semi-supervised fuzzy c-means algorithm by revising dissimilarity between data

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2011 1月, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 15, 1, p. 95-101 7 p.

  研究成果: Article › 査読
  5 被引用数 (Scopus)
• 2010

  Hard and Fuzzy c-Means Clustering Algorithms with Geodesic Dissimilarity

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2010 9月 8, In: Proc. 2010 International Symposium on Nonlinear Theory and Its Application. p. 603-606

  研究成果: Article › 査読
• 2009

  A Semi-Supervised Entropy Regularized Fuzzy c-Means

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2009 10月 18, In: Proc. NOLTA2009. p. 564-567

  研究成果: Article › 査読

• p-Norm Based Fuzzy c-Means

  Miyata, T., Kanzawa, Y. & Endo, Y., 2009 10月 18, In: Proc. NOLTA2009. p. 560-563

  研究成果: Article › 査読
• 2008

  Entropy Regularized Fuzzy c-Means for Data with Tolerance introducing Penalty Term in Feature Space

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 9月 1, In: Proc. in Joint 4th Internationsl Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems. p. 578-583

  研究成果: Article › 査読

• Fuzzy Classification Function of Standard Fuzzy c-Means Algorithms for Data with Tolerance Using Kernel Function

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 7月 1, In: Springer Lecture Notes in Artificial Intelligence. LNAI5285, p. 122-133

  研究成果: Article › 査読

• Fuzzy c-means algorithms for data with tolerance using kernel functions

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 9月, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E91-A, 9, p. 2520-2534 15 p.

  研究成果: Article › 査読

  • Fuzzy C-means Algorithm 100%
  • Feature Space 79%
  • Kernel Function 61%
  • Tolerance 60%
  • Clustering Algorithm 38%
  7 被引用数 (Scopus)

• Fuzzy c-Means for Data with Tolerance Introducing Penalty Term in Feature Space

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 9月 1, In: Proc. in 2008 International Symposium on Nonlinear Theory and Its Applications. p. 396-399

  研究成果: Article › 査読

• Kernelized Fuzzy c-Means for Data with Tolerance based on Opposite Criterions

  Kanzawa, Y., 2008 9月 1, In: 第24回ファジィシステムシンポジウム講演論文集. p. 127-132

  研究成果: Article › 査読
• 2007

  Fuzzy c-means algorithms for data with tolerance based on opposite criterions

  Yuchi, K., Yasunori, E. & Sadaaki, M., 2007 10月, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E90-A, 10, p. 2194-2202 9 p.

  研究成果: Article › 査読

  • Fuzzy C-means Algorithm 100%
  • Tolerance 60%
  • Clustering Algorithm 25%
  • Clustering 18%
  • Clustering algorithms 17%
  12 被引用数 (Scopus)

• Fuzzy-c-Means Algorithms for Data with Tolerance based on Opposite Criterions

  Y, K., E, Y., S, M. & Kanzawa, Y., 2007 11月 1, In: IEICE Trans Fundamentals. E90-A, p. 2194-2202

  研究成果: Article › 査読

  12 被引用数 (Scopus)
• 2006

  A Method of Proving Existence of Solution Curve for Nonlinear Equation using Affine Arithmetic

  Kanzawa, Y. & Oishi, S., 2006 9月 14, In: Proc. 2006 International Symposium on Nonlinear Theory and Its Applications. p. 787-790

  研究成果: Article › 査読

• Two Types of Fuzzy c-Means for Data with Tolerance

  Kanzawa, Y., Endo, Y. & Miyamoto, S., 2006 9月 13, In: Proc. 2006 International Symposium on Nonlinear Theory and Its Applications. p. 947-950

  研究成果: Article › 査読
• 2003

  Numerical verification of nonexistence of solutions for separable nonlinear equations and its application to all solutions algorithm

  Nakaya, Y., Oishi, S., Kashiwagi, M. & Kanzawa, Y., 2003 5月 1, In: Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi). 86, 5, p. 45-53 9 p.

  研究成果: Article › 査読

  • Nonlinear equations 100%
  3 被引用数 (Scopus)
• 2002

  A Method ro Prove Existence of Solutions for Nonlinear ODE on Essentially Bounded Functional Space

  Kanzawa, Y., Oishi, O. & S., S., 2002 10月 6, In: Proc. 2002 International Symposium on Nonlinear Theory and its Applications. p. 243-246

  研究成果: Article › 査読

• An algorithm for iteratively refining the interval including the solution set of parameter-dependent nonlinear equations

  Kanzawa, Y., Kashiwagi, M. & Oishi, S., 2002 2月 26, In: Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi). 85, 4, p. 39-44 6 p.

  研究成果: Article › 査読

  • Nonlinear equations 100%
  • Refining 90%
  • Set theory 59%

• A Numerical Method of Proving the Existence of Solutions for Nonlinear ODEs Using Affine Arithmetic

  Kanzawa, Y., Oishi, O. & S., S., 2002 9月 27, In: Proc. 2002 International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics. p. 49-49

  研究成果: Article › 査読
• 2001

  A Method to Prove Existence of Solutions for Nonlinear ODE on Essentially Bounded Functional Space

  Kanzawa, Y., Oishi, O. & S., S., 2001 10月 1, In: Proc. 2001 International Symposium on Nonlinear Theory and its Applications. p. 127-131

  研究成果: Article › 査読
• 2000

  A Numerical Method to Prove the Existence of Solutions for Nonlinear ODE Using Affine Arithmetic II

  Kanzawa, Y., Oishi, O. & S., S., 2000 9月 1, In: Proc. 2000 International Symposium on Nonlinear Theory and its Applications. p. 312-315

  研究成果: Article › 査読
• 1999

  Algorithm for finding all solutions of parameter-dependent nonlinear equations with guaranteed accuracy

  Kanzawa, Y., Kashiwagi, M. & Oishi, S., 1999 10月 1, In: Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi). 82, 10, p. 33-39 7 p.

  研究成果: Article › 査読

  • Nonlinear equations 100%
  3 被引用数 (Scopus)

• A Numerical Method to Prove the Existence of Solutions for Nonlinear ODE Using Affine Arithmetic

  Kanzawa, Y., Oishi, O. & S., S., 1999 12月 1, In: Proc. 1999 International Symposium on Nonlinear Theory and its Applications. p. 451-454

  研究成果: Article › 査読

• A Numerical Method to Prove the Existence of Solutions for Ordinary Differential Equations Using H1 Norm

  Miyata, T., Souma, T., Kanzawa, Y., Oishi, S. & Horiuchi, K., 1999 12月 1, In: Proc. 1999 International Symposium on Nonlinear Theory and its Applications. p. 511-514

  研究成果: Article › 査読

• Calculating bifurcation points with guaranteed accuracy

  Kanzawa, Y. & Oishi, SI., 1999 1月 1, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E82-A, 6, p. 1055-1061 7 p.

  研究成果: Article › 査読

  • Bifurcation (mathematics) 100%
  • Bifurcation Point 87%
  • Hysteresis 76%
  • Extended Systems 34%
  • Symmetry Breaking 32%
  9 被引用数 (Scopus)

• Imperfect singular solutions of nonlinear equations and a numerical method of proving their existence

  Kanzawa, Y. & Oishi, SI., 1999 1月 1, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E82-A, 6, p. 1062-1069 8 p.

  研究成果: Article › 査読

  • Singular Solutions 100%
  • Imperfect 98%
  • Nonlinear equations 93%
  • Numerical methods 76%
  • Nonlinear Equations 69%
  6 被引用数 (Scopus)