@article{(Open Science Index):https://publications.waset.org/pdf/10718, title = {Categorical Clustering By Converting Associated Information}, author = {Dongmin Cai and Stephen S-T Yau}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {11}, year = {2007}, pages = {3675 - 3680}, ee = {https://publications.waset.org/pdf/10718}, url = {https://publications.waset.org/vol/11}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 11, 2007}, }