A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network

This paper focuses on the statistical based Probabilistic Neural Network (PNN) for pattern classification problems with Expectation - Maximization (EM) chosen as the training algorithm. This brings about the problem of random initialization, which means, the user has to predefine the number of clust...

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Veröffentlicht in:	Informatica (Ljubljana) 2008-06, Vol.32 (2), p.219-225
Hauptverfasser:	Chang, RKY, Loo, C K, Rao, MVC
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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