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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Self-aggregation and Eccentricity Analysis: New Tools to Enhance Clustering Performance via Swarm Intelligence
verfasst von : Jiangshao Gu, Kunmei Wen
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer International Publishing
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In view of the intrinsic drawbacks of traditional clustering methods, e.g. the sensitivity to initialization and the risk of falling into local optima, we introduce two new tools to enhance clustering performance via Swarm Intelligence (SI), i.e. Self-Aggregation (SA) and Eccentricity Analysis (EA), which are based on Firefly Algorithm (FA) in this paper. In order to confirm the effectiveness of the techniques, an improved k-means++ method is given as an instance. Large experiments illustrate that our algorithm performs better on both accuracy and robustness than the existing ones.