Bayesian optimization algorithm under conditions of incomplete data
Jiang En-hua · Computer Engineering and Applications Journal · 2012
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.