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
- 우원석; 허명회
- 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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Collections - College of Political Science & Economics > Department of Statistics > 1. Journal Articles
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