The distance and dissimilarity are basic concepts in clustering analysis.In classical clustering analysis,the dissimilarity is only simple function of distance.This paper proposes two distance definitions for attribute-mixed dataset, and generalizes dissimilarity to multi-function of distance and cluster size,the new distance and dissimilarity definitions make existed clustering algorithms for numerical attribute or categorical attribute can be used to attribute-mixed dataset. The experimental results show that the new distance a...
