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

Research Output 1994 2018

  • 155 Citations
  • 7 h-Index
  • 57 Article
  • 30 Conference contribution
  • 1 Chapter
Fuzzy clustering
Clustering algorithms
Experiments

Power-regularized fuzzy clustering for spherical data

Kanzawa, Y., 2018 Mar 1, In : Journal of Advanced Computational Intelligence and Intelligent Informatics. 22, 2, p. 163-171 9 p.

Research output: Contribution to journalArticle

Fuzzy clustering
Entropy
Experiments
Fuzzy clustering
Clustering algorithms
Numerical methods

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

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