Fast Discrete Distribution Clustering Using Wasserstein Barycenter With Sparse Support

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 Kantorov...

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Vydané v:	IEEE transactions on signal processing Ročník 65; číslo 9; s. 2317 - 2332
Hlavní autori:	Jianbo Ye, Panruo Wu, Wang, James Z., Jia Li
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2017
Predmet:	ADMM clustering Clustering algorithms Discrete distribution Electronic mail Histograms K-means large-scale learning Optimization parallel computing Prototypes Signal processing algorithms Time complexity
ISSN:	1053-587X, 1941-0476
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