A robust clustering algorithm based on competitive agglomeration and soft rejection of outliers

We present a new clustering algorithm that addresses two major issues associated with conventional partitional clustering: the difficulty in determining the number of clusters, and the sensitivity to noise and outliers. The proposed algorithm determines the number of clusters by a process of competi...

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Veröffentlicht in:	PROC IEEE COMPUT SOC CONF COMPUT VISION PATTERN RECOGNIT S. 550 - 555
Hauptverfasser:	Frigui, H., Krishnapuram, R.
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 1996
Schlagworte:	Clustering algorithms Computer science Data mining Electric breakdown Noise robustness Partitioning algorithms Prototypes Shape measurement Size measurement Statistics
ISBN:	9780818672590, 0818672595
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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