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Fuzzy k-Means Local Centers of the Social NetworksFuzzy k-Means Local Centers of the Social Networks

Other Titles
Fuzzy k-Means Local Centers of the Social Networks
Authors
우원석허명회
Issue Date
2012
Publisher
한국통계학회
Keywords
Fuzzy k-means clustering; social network analysis; local centers; communities.
Citation
Communications for Statistical Applications and Methods, v.19, no.2, pp.213 - 217
Indexed
KCI
Journal Title
Communications for Statistical Applications and Methods
Volume
19
Number
2
Start Page
213
End Page
217
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/110383
ISSN
2287-7843
Abstract
Fuzzy k-means clustering is an attractive alternative to the ordinary k-means clustering in analyzing multivariate data. Fuzzy versions yield more natural output by allowing overlapped k groups. In this study, we modify a fuzzy k-means clustering algorithm to be used for undirected social networks, apply the algorithm to both real and simulated cases, and report the results.
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