力学モデルに基づく階層型言語ベースクラスタリングについて

栢分 雄基; 菅原 彬; 木下 尚彦; 遠藤 靖典; 神澤 雄智

doi:10.14864/fss.31.0_89

31st Fuzzy System Symposium

Session ID : WB3-3

DOI https://doi.org/10.14864/fss.31.0_89

Conference information

Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)

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Hierarchical linguistic based clustering using gravity-like rule

*Yuki Kayawake, Akira Sugawara, Yaohiko Kinoshita, Yasunori Endo, Yuchi Kanzawa

Author information

Keywords: linguistic-based clustering, hierarchical clustering, fuzzy inference

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Hierarchical Linguistic based Clustering (HLC) is one of linguistic-based clustering algorithm.This method uses rule-groups which are not consistent.This study proposes gravity-like rule in HLC and shows that the rule improves clustering accuracy.

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