Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Clustering algorithms Engineering & Materials Science
Entropy Engineering & Materials Science
Fuzzy clustering Engineering & Materials Science
Experiments Engineering & Materials Science
Nonlinear equations Engineering & Materials Science
Principal component analysis Engineering & Materials Science
Numerical methods Engineering & Materials Science
Collaborative filtering Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1994 2017

  • 135 Citations
  • 5 h-Index
  • 54 Article
  • 30 Conference contribution
  • 1 Chapter

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. Springer Verlag, Vol. 10571 LNAI, 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: ResearchConference contribution

Collaborative filtering
Recommender systems
Optimal systems
Experiments

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

Research output: ResearchConference contribution

Statistics
Experiments

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: ResearchConference contribution

Fuzzy clustering
Experiments

Semi-supervised fuzzy c-means algorithms by revising dissimilarity/kernel matrices

Kanzawa, Y. 2017 Jan 1 Studies in Computational Intelligence. Springer Verlag, Vol. 671, p. 45-61 17 p. (Studies in Computational Intelligence; vol. 671)

Research output: ResearchChapter

Fuzzy clustering
Clustering algorithms
Entropy

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: ResearchConference contribution

Clustering algorithms
Principal component analysis
Entropy