Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Fuzzy k-Means Local Centers of the Social Networks

  • Received : 2011.11.08
  • Accepted : 2012.01.05
  • Published : 2012.03.31
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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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References

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