关键词: DNA序列分析, 蚁群聚类算法, 分类, 特征提取, person相关系数

Abstract: A modification of ant-based clustering algorithm for DNA sequence analysis is presented.For increasing the efficiency of ant-based clustering algorithm in terms of running time and accuracy，the modified version of ACOC has incorporated two main modifications in relation to ACA：An adaptive perception scheme occurs in the density function and a cooling scheme of α-adaptation.The features of DNA sequence are extracted according to Di-nucleotide frequency.Then pearson correlation coefficient is used to analyze the relationship.Experimental results on EMBL-DNA datasets clearly show that ACOC performs well when this paper is compared to statistics clustering and k-means and is suitable for Mass DNA sequence classification.

Key words: DNA sequence analysis, ant-based clustering algorithm, classification, feature extraction, pearson correlation coefficient