Clustering algorithm of nominal data based on entropy
基于信息熵的标称变量聚类算法研究

Through analyzing the characteristics of nominal data, clustering algorithm of nominal data based on entropy and hierarchical method was proposed. In this algorithm, similarity between objects was measured by using entropy and similarity threshold was calculated directly by using data. The experimental results show that this algorithm is feasible and effective.