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

研究成果: Conference contribution

抄録

In this study, we present two types of fuzzy counterparts to the probabilistic latent semantic analysis (pLSA) approach. The first type is derived by solving the optimization problem of Tsallis entropy-penalizing free energy of a pseudo pLSA model using a modified i.i.d. assumption; this derivation is similar to that of the conventional fuzzy counterpart of the pLSA that involves solving the optimization problem of Shannon entropy-penalizing free energy. The second proposed approach is derived from the first approach by letting the fuzzification parameter approach infinity; this derivation is similar to the derivation of a fuzzy clustering algorithm from another fuzzy clustering algorithm by letting the fuzzification parameter approach infinity. Furthermore, some numerical examples for the proposed methods are presented.

本文言語English
ホスト出版物のタイトルProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3685-3689
ページ数5
ISBN(電子版)9781538666500
DOI
出版ステータスPublished - 2019 1 16
イベント2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
継続期間: 2018 10 72018 10 10

出版物シリーズ

名前Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
国/地域Japan
CityMiyazaki
Period18/10/718/10/10

ASJC Scopus subject areas

  • 情報システム
  • 情報システムおよび情報管理
  • 健康情報学
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用

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