关键词: 模糊聚类, Markov链, 相互作用, 双重性质

Abstract: In view of the problem of gene sequence classification, combined with fuzzy clustering analysis method that has the advantages of simple classification and high accuracy of classification result. Based on the original Markov chain model of the gene clustering method, and the feature nucleic acid base pair interactions has been taken into account to calculate the distances. A characteristic distance matrix with dual properties is obtained. The method gets fuzzy similar matrix and dynamic clustering graph by suing fuzzy clustering, which achieves classification of the DNA sequence. Selecting 16 species p53 gene sequences including humans to study the relationship between species closer, the more easily become a class. The results are consistent with those previous analyses, which illustrates the utility of the approach. In addition, the clustering results of clustering with dual property method are compared with the clustering results of single property method and find that the dual property method is more accurate.

Key words: fuzzy clustering, Markov chain, interaction, dual property