Attribute Division Algorithm Based on Entropy

In order to preprocess data for data mining algorithms, an attribute division algorithm based on entropy is given through analyzing the physical meaning of information entropy. The algorithm measures the relativity among the different attributes based on entropy qualitatively and quantitatively. The original attribute set is divided into several subsets which are conditional independence by k-means clustering algorithm. Experimental results show that this algorithm can be used for data preprocessing.