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In a variety of research areas, the weighted bag of vectors and the histogram are widely used descriptors for complex objects. Both can be expressed as discrete distributions. D2-clustering pursues the minimum total within-cluster variation for a set of discrete distributions subject to the Kantorovich–Wasserstein metric. D2-clustering has a severe scalability issue, the bottleneck being the computation...
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