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 clu...

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Bibliographic Details

Main Authors:	Chang, R.K.Y., Loo, C.K., Rao, M.V.C.
Format:	Article
Language:	en
Published:	2008
Subjects:	T Technology (General)
Online Access:	http://eprints.um.edu.my/5158/1/A_Global_k-means_approach_for_autonomous_cluster_initialization_of_probabilistic_neural_network.pdf http://eprints.um.edu.my/5158/ http://en.scientificcommons.org/55706914
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