This work is devoted to the speech signal clustering analysis problem. The main methods of cluster analysis were reviewed in this work and clusterization algorithm based on vector quantization was created. The speaker identification experiments were performed in which dependence of identification accuracy and computational complexity from number of clusters was investigated.