基于模糊聚类算法的DNA序列分类模型

DNA sequence classifical model based on fuzzy clustering

通过分析DNA序列链之间的关联程度,构造出模糊相似矩阵,计算出传递闭包,获得详细的动态聚类过程.使用该模型的优点是,输入少量参数及阈值,就可以较准确的对DNA序列的集合进行分类.验证该算法的有效性.

This paper analyses the association between DNA sequence chains, constructs fuzzy similarity matrix, calculates the transitive closure, and gets detailed dynamic clustering process. The advantage of using this model is that by entering a small number of parameters and threshold values, we can classify the collection of DNA sequences more accurately and verify the effectiveness of the algorithm.