TY - JFULL AU - Sarra Ben Hariz and Zied Elouedi and Khaled Mellouli PY - 2007/7/ TI - Selection Initial modes for Belief K-modes Method T2 - International Journal of Computer and Information Engineering SP - 1589 EP - 1599 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/603 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 6, 2007 N2 - 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. ER -