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...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://en.scientificcommons.org/55706914 http://en.scientificcommons.org/55706914 http://eprints.um.edu.my/5158/1/A_Global_k%2Dmeans_approach_for_autonomous_cluster_initialization_of_probabilistic_neural_network.pdf |