Journal of Advanced Computational Intelligence and Intelligent Informatics
Online ISSN : 1883-8014
Print ISSN : 1343-0130
ISSN-L : 1883-8014
Regular Papers
Tsallis Entropy-Based Fuzzy Latent Semantics Analysis
Yuchi Kanzawa
著者情報
ジャーナル 認証あり

2020 年 24 巻 1 号 p. 58-64

詳細
抄録

In this study, we present a fuzzy counterpart to the probabilistic latent semantic analysis (PLSA) approach. It is derived by solving the optimization problem of Tsallis entropy-penalizing free energy of a pseudo PLSA model by using a modified i.i.d. assumption. This derivation is similar to that of the conventional fuzzy counterpart of the PLSA, which involves solving the optimization problem of Shannon entropy-penalizing free energy. Furthermore, the proposed method is validated using numerical examples.

著者関連情報

この記事は最新の被引用情報を取得できません。

© 2020 Fuji Technology Press Ltd.
前の記事 次の記事
feedback
Top