Evidential relational clustering using medoids

15 Jul 2015Kuang ZhouArnaud MartinQuan PanZhun-Ga Liu

In real clustering applications, proximity data, in which only pairwise similarities or dissimilarities are known, is more general than object data, in which each pattern is described explicitly by a list of attributes. Medoid-based clustering algorithms, which assume the prototypes of classes are objects, are of great value for partitioning relational data sets... (read more)

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