Robust mixture model-based clustering with genetic algorithm approach

In this paper, we address the robustness issue of maximum likelihood based methods in data clustering. Probabilistic mixture model has been a well known approach to cluster analysis. However, as they rely on maximum likelihood estimation (MLE), the algorithms are often very sensitive to noise and ou...

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Veröffentlicht in:	Intelligent data analysis 2011-01, Vol.15 (3), p.357-373
Hauptverfasser:	Thang, Nguyen Duc, Chen, Lihui, Chan, Chee Keong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Consistency Data processing Genetic algorithms Mathematical analysis Probability theory Robustness
Online-Zugang:	Volltext
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