Clustering using neural networks and Kullback-Leibler divergency

摘要

In this work we develop a clustering algorithm based on Kullback-Leibler divergence as the dissimilarity measurement. That measure is used with an algorithm that uses the classical vector quantization with competitive neural networks to perform the clust