• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1994 …2022

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  • 2022

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

    Suzuki, K. & Kanzawa, Y., 2022, Integrated Uncertainty in Knowledge Modelling and Decision Making - 9th International Symposium, IUKM 2022, Proceedings. Honda, K., Entani, T., Ubukata, S., Huynh, V-N. & Inuiguchi, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 182-190 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13199 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On Some Fuzzy Clustering Algorithms for Time-Series Data

    Fujita, M. & Kanzawa, Y., 2022, Integrated Uncertainty in Knowledge Modelling and Decision Making - 9th International Symposium, IUKM 2022, Proceedings. Honda, K., Entani, T., Ubukata, S., Huynh, V-N. & Inuiguchi, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 169-181 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13199 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On Some Fuzzy Clustering Algorithms with Cluster-Wise Covariance

    Ishii, T. & Kanzawa, Y., 2022, Integrated Uncertainty in Knowledge Modelling and Decision Making - 9th International Symposium, IUKM 2022, Proceedings. Honda, K., Entani, T., Ubukata, S., Huynh, V-N. & Inuiguchi, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 191-203 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13199 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2021

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

    Kanzawa, Y., 2021, Modeling Decisions for Artificial Intelligence - 18th International Conference, MDAI 2021, Proceedings. Torra, V. & Narukawa, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 218-230 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12898 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2020

    Generalization property of fuzzy classification function for tsallis entropy-regularization of bezdek-type fuzzy c-means clustering

    Kanzawa, Y., 2020, Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Proceedings. Torra, V., Narukawa, Y., Nin, J. & Agell, N. (eds.). Springer, p. 119-131 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12256 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On fuzzy clustering algorithms for nominal data

    Kanzawa, Y., 2020 Dec 5, 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020. Institute of Electrical and Electronics Engineers Inc., 9322791. (2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

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

    Kanzawa, Y., 2019 Jan 1, Modeling Decisions for Artificial Intelligence - 16th International Conference, MDAI 2019, Proceedings. Torra, V., Narukawa, Y., Pasi, G. & Viviani, M. (eds.). Springer Verlag, p. 189-200 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11676 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data

    Kanzawa, Y., 2019 May 15, Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., p. 638-643 6 p. 8716218. (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Kanzawa, Y., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3685-3689 5 p. 8616620. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Performance comparison of collaborative filtering using fuzzy clustering for spherical data

    Kondo, T. & Kanzawa, Y., 2019 May 15, Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., p. 644-647 4 p. 8716226. (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • 2018

    Generalized Fuzzy c-Means Clustering and Its Theoretical Properties

    Kanzawa, Y. & Miyamoto, S., 2018 Jan 1, Modeling Decisions for Artificial Intelligence - 15th International Conference, MDAI 2018, Proceedings. Torra, V., Torra, V., Narukawa, Y., González-Hidalgo, M. & Aguilo, I. (eds.). Springer Verlag, p. 243-254 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11144 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • 2017

    Comparison of fuzzy co-clustering methods in collaborative filtering-based recommender system

    Kondo, T. & Kanzawa, Y., 2017, Modeling Decisions for Artificial Intelligence - 14th International Conference, MDAI 2017, Proceedings. Honda, A., Narukawa, Y., Torra, V. & Inoue, S. (eds.). Springer Verlag, p. 103-116 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10571 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Kanzawa, Y., 2017 Aug 23, 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017. Institute of Electrical and Electronics Engineers Inc., 8015398. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On fuzzy clustering for categorical multivariate data induced by polya mixture models

    Kanzawa, Y., 2017, Modeling Decisions for Artificial Intelligence - 14th International Conference, MDAI 2017, Proceedings. Springer Verlag, Vol. 10571 LNAI. p. 89-102 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10571 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2016

    On Bezdek-type possibilistic clustering for spherical data, its kernelization, and spectral clustering approach

    Kanzawa, Y., 2016, Modeling Decisions for Artificial Intelligence - 13th International Conference, MDAI 2016, Proceedings. Springer Verlag, Vol. 9880 LNAI. p. 178-190 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9880 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On Possibilistic Clustering Algorithms Based on Noise Clustering

    Kanzawa, Y., 2016 Dec 28, Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016. Institute of Electrical and Electronics Engineers Inc., p. 42-47 6 p. 7801610

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • 2015

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

    Kanzawa, Y., 2015 Nov 25, FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-November. 7337853

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)
  • On possibilistic clustering methods based on Shannon/Tsallis-entropy for spherical data and categorical multivariate data

    Kanzawa, Y., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9321. p. 115-128 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9321).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    15 Citations (Scopus)
  • 2014

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

    Kanzawa, Y., 2014 Sep 4, Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE. Institute of Electrical and Electronics Engineers Inc., p. 2482-2488 7 p. 6891670. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)
  • On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering

    Kanzawa, Y., 2014 Dec 11, Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014. Kudo, Y. & Tsumoto, S. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 121-126 6 p. 6982819. (Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)
  • On Bezdek-type fuzzy clustering for categorical multivariate data

    Kanzawa, Y., 2014 Feb 18, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc., p. 694-699 6 p. 7044511

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)
  • On kernelization for a maximizing model of bezdek-like spherical fuzzy c-means clustering

    Kanzawa, Y., 2014, Modeling Decisions forArtificial Intelligence - 11th International Conference, MDAI 2014, Proceedings. Torra, V., Narukawa, Y. & Endo, Y. (eds.). Springer Verlag, p. 108-121 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8825).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)
  • Relational fuzzy c-means and kernel fuzzy c-means using a quadratic programming-based object-wise β-spread transformation

    Kanzawa, Y., 2014, Knowledge and Systems Engineering - Proceedings of the 5th International Conference, KSE 2013. Denoeux, T., Huynh, V-N., Tran, D. H., Le, A. C. & Pham, S. B. (eds.). Springer Verlag, p. 29-43 15 p. (Advances in Intelligent Systems and Computing; vol. 245).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2013

    Generalization of quadratic regularized and standard fuzzy c-means clustering with respect to regularization of hard c-means

    Kanzawa, Y., 2013 Dec 1, Modeling Decisions for Artificial Intelligence - 10th International Conference, MDAI 2013, Proceedings. p. 152-165 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8234 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)
  • 2012

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

    Kanzawa, Y., 2012 Dec 1, 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. p. 1988-1993 6 p. 6505051. (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • FNM-based and RFCM-based fuzzy clustering for tri-relational data

    Kanzawa, Y., 2012 Dec 1, 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. p. 1982-1987 6 p. 6505050. (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Kanzawa, Y. & Endo, Y., 2012 Oct 23, 2012 IEEE International Conference on Fuzzy Systems, FUZZ 2012. 6250781. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Relational fuzzy c-lines derived from kernel fuzzy c-lines

    Kanzawa, Y., 2012 Dec 1, 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. p. 1561-1566 6 p. 6505052. (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2011

    On hard and fuzzy c-means clustering with conditionally positive definite kernel

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2011 Sep 27, FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings. p. 816-820 5 p. 6007431. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2010

    Indefinite kernel fuzzy c-means clustering algorithms

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2010, Modeling Decisions for Artificial Intelligence - 7th International Conference, MDAI 2010, Proceedings. p. 116-128 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6408 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)
  • 2009

    Entropy regularized fuzzy c-lines for data with tolerance

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2009, 2009 IEEE International Conference on Fuzzy Systems - Proceedings. p. 1113-1118 6 p. 5277176. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Fuzzy c-lines for data with tolerance

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2009 Dec 1, 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings. p. 861-866 6 p. (2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • On Fuzzy c-Means clustering for uncertain data using quadratic regularization of penalty vectors

    Endo, Y., Hamasuna, Y., Kanzawa, Y. & Miyamoto, S., 2009 Nov 25, 2009 IEEE International Conference on Granular Computing, GRC 2009. p. 148-153 6 p. 5255142. (2009 IEEE International Conference on Granular Computing, GRC 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Some pairwise constrained semi-supervised fuzzy c-means clustering algorithms

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2009 Dec 1, Modeling Decisions for Artificial Intelligence - 6th International Conference, MDAI 2009, Proceedings. p. 268-281 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5861 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)
  • 2008

    Fuzzy classification function of entropy regularized fuzzy c-means algorithm for data with tolerance using kernel function

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 Dec 30, 2008 IEEE International Conference on Granular Computing, GRC 2008. p. 350-355 6 p. 4664765. (2008 IEEE International Conference on Granular Computing, GRC 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)
  • Fuzzy classification function of fuzzy c-means algorithms for data with tolerance

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 Nov 7, 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008. p. 1081-1088 8 p. 4630504. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Fuzzy classification function of standard fuzzy c-means algorithm for data with tolerance using kernel function

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 Dec 31, Modeling Decisions for Artificial Intelligence - 5th International Conference, MDAI 2008, Proceedings. p. 122-133 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5285 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Fuzzy c-means for data with tolerance by introducing penalty term

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2008 Dec 1, SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. p. 371-376 6 p. 5045992. (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2006

    Fuzzy c-means clustering for data with tolerance using kernel functions

    Kanzawa, Y., Endo, Y. & Miyamoto, S., 2006 Dec 1, 2006 IEEE International Conference on Fuzzy Systems. p. 744-750 7 p. 1681793. (IEEE International Conference on Fuzzy Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)