Communications for Statistical Applications and Methods

  • 제19권2호
  • /
  • Pages.213-217
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  • 2012
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Fuzzy k-Means Local Centers of the Social Networks

  • 투고 : 2011.11.08
  • 심사 : 2012.01.05
  • 발행 : 2012.03.31
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초록

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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참고문헌

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