A hybrid clustering algorithm based on PSO with dynamic crossover

In this paper an approach to clustering of short text fragments by hierarchical classifier is proposed. This approach is based on a special way of object representation in the dimension of features constructed by hierarchical classifier. Also, in order to reasonable perform quality evaluation of clustering results there is a set of criteria proposed in this paper. Presented experimental results show the ability of this approach to improve significantly the quality of clustering.