形式概念分析を用いた階層的クラスタリング-最短距離法と最長距離法-

福田 崇; 室伏 俊明

doi:10.14864/fss.26.0.240.0

26th Fuzzy System Symposium

Session ID : WC2-1

DOI https://doi.org/10.14864/fss.26.0.240.0

Conference information

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

Hierarchical clustering methods using Formal Concept Analysis - The algorithms for single-link and complete-link clustering -

*Takashi Fukuda, Toshiaki Murofushi

Author information

Keywords: Formal Concept Analysis, Hierarchical clustering methods, Single-link clustering method, Complete-link clustering method

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

This paper builds hierarchical clustering methods using Formal Concept Analysis. It proposes algorithms of the single-link and complete-link methods through Formal Concept Analysis. An application of these new methods is illustrated by a simple example.

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