Exclusive versus fuzzy In a fuzzy clustering, every object belongs to every cluster with a membership weight that is between o(absolutely does not belong) and 1 absolutely belongs This approach is useful for avoiding the arbitrariness of assigning an object to only one cluster when it is close to several a fuzzy clustering can be converted to an exclusive clustering by assigning each object to the cluster in which its membership value is the highest 8/20/2016 PATTERN RECOGNITIONExclusive versus fuzzy In a fuzzy clustering, every object belongs to every cluster with a membership weight that is between ◦ 0 (absolutely does not belong) and ◦ 1 (absolutely belongs). This approach is useful for avoiding the arbitrariness of assigning an object to only one cluster when it is close to several. A fuzzy clustering can be converted to an exclusive clustering by assigning each object to the cluster in which its membership value is the highest. 8/20/2016 PATTERN RECOGNITION 10