C-4-1 Statistical Method to Find the Optimal Cut Off Level in Fuzzy Clustering Using AIC(Data Analysis and Education (2))

Shuya KANAGAWA; Kimiaki SHINKAI; Hiroaki UESU

doi:10.24466/pacbfsa.26.0_179

Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association

Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510

26

Session ID : C-4-1

DOI https://doi.org/10.24466/pacbfsa.26.0_179

Conference information

Name : [in Japanese]

Number : 26

Location : [in Japanese]

Date : October, 2013 -

C-4-1 Statistical Method to Find the Optimal Cut Off Level in Fuzzy Clustering Using AIC(Data Analysis and Education (2))

Shuya KANAGAWA, Kimiaki SHINKAI, Hiroaki UESU

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Keywords: fuzzy clustering, AIC, cut off level, partition tree

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In this paper we show a new statistical scheme to find the optimal cut off level in fuzzy clustering which is an improvement of Uesu and Shinkai et. al [4]〜[7].

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