@article{(Open Science Index):https://publications.waset.org/pdf/603, title = {Selection Initial modes for Belief K-modes Method}, author = {Sarra Ben Hariz and Zied Elouedi and Khaled Mellouli}, country = {}, institution = {}, abstract = {The belief K-modes method (BKM) approach is a new clustering technique handling uncertainty in the attribute values of objects in both the cluster construction task and the classification one. Like the standard version of this method, the BKM results depend on the chosen initial modes. So, one selection method of initial modes is developed, in this paper, aiming at improving the performances of the BKM approach. Experiments with several sets of real data show that by considered the developed selection initial modes method, the clustering algorithm produces more accurate results.}, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {6}, year = {2007}, pages = {1590 - 1599}, ee = {https://publications.waset.org/pdf/603}, url = {https://publications.waset.org/vol/6}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 6, 2007}, }