关键词: 数据挖掘 聚类算法 &kappa, -summary 算法

Abstract:

As for the shortcomings of the κ-modes algorithm in the representation of class, we present a method for the representation of class with summary information. A distance definition for mixed attributes is proposed in this paper. Based on the distance definition, we extend the κ-means algorithm and ppresent the κ-summary algorithm, Theoretical analyses and experimental results demonstrate that the κ-summary algorithm can create more accurate classs results than the κ- modes algorithm and the κ-prototypes algorithm

Key words: （data mining;clustering algorithm;κ-summary algorithm）