%0 Journal Article %A Dongmin Cai and Stephen S-T Yau %D 2007 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 11, 2007 %T Categorical Clustering By Converting Associated Information %U https://publications.waset.org/pdf/10718 %V 11 %X Lacking an inherent “natural" dissimilarity measure between objects in categorical dataset presents special difficulties in clustering analysis. However, each categorical attributes from a given dataset provides natural probability and information in the sense of Shannon. In this paper, we proposed a novel method which heuristically converts categorical attributes to numerical values by exploiting such associated information. We conduct an experimental study with real-life categorical dataset. The experiment demonstrates the effectiveness of our approach. %P 3675 - 3680