TY - JFULL AU - Dongmin Cai and Stephen S-T Yau PY - 2007/12/ TI - Categorical Clustering By Converting Associated Information T2 - International Journal of Computer and Information Engineering SP - 3674 EP - 3680 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/10718 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 11, 2007 N2 - 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. ER -