关键词: 灰色相关度, 条件属性, 类别属性, 属性联合, 属性加权

Abstract: An improved naive classification algorithm is presented to solve the three problems that affect the accuracy of naive Bayes algorithm. The gray related degree about condition attributes and classes is calculated, according to which the attribute joining and attribute weighted are completed. The absent attributes are filled with an improved EM algorithm. The samples are classified by Bayesian classification algorithm. The results of experiments indicate that the optimization algorithm has the higher efficiency for clustering.

Key words: grey relational degree, condition attribute, class attribute, attribute joining, attribute weighted