Clustering of text collections based on PART neural network and similarity measure

The paper deals with clustering of the text collections by neural network and similarity measures. The clustering phase is progressively passing all input samples of TF matrix and are further processed using the PART neural network. As a result of processing, projective clusters are obtained. In the last phase of processing our propose algorithm based on similarity measure is used in order to redirect projective clusters into the required clusters.