Probabilistic D-Clustering

: We present a new iterative method for probabilistic clustering of data. Given clusters, their centers and the distances of data points from these centers, the probability of cluster membership at any point is assumed inversely proportional to the distance from (the center of) the cluster in question. This assumption is our working principle. The method is a generalization, to several centers, of the Weiszfeld method for solving the Fermat

• Type: Journal
• Year: 2008
• Where: CLASSIFICATION
• Authors: Adi Ben-Israel, Cem Iyigun
• Keywords: CLASSIFICATION 2008, Cluster Centers, Data Points, Fermat­Weber Location Problem