Abstract:Clustering is widely used in text analysis, natural language processing, image segmentation, and other data mining fields. As a promising clustering algorithm, the evidential cmeans (ECM) can provide a deeper insight on the data by allowing an object to belong to several subsets of classes, which extends those of hard, fuzzy, and possibilistic clustering. However, as it needs to estimate much more parameters than the other classical partition-based algorithms, it only works well when the available data is suff… Show more
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