The method of NN-grams in large-scale clustering of DNA texts

This paper is devoted to the techniques of clustering of texts based on the comparison of vocabularies of N-grams. In contrast to the regular N-grams approach, the proposed N-grams method is based on calculation of imperfect occurrences of N-grams in a text up to a number of mismatched strings. We demonstrated that such an approach essentially improves the resolving capacity of the N-grams method for DNA texts. Additionally, we discuss a mutual usage scheme of different clustering technique types to verify the partition quality.