Splitting Methods for Convex Clustering

Clustering is a fundamental problem in many scientific applications. Standard methods such as k-means, Gaussian mixture models, and hierarchical clustering, however, are beset by local minima, which are sometimes drastically suboptimal. Recently introduced convex relaxations of k-means and hierarchi...

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Veröffentlicht in:Journal of computational and graphical statistics Jg. 24; H. 4; S. 994 - 1013
Hauptverfasser: Chi, Eric C., Lange, Kenneth
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Taylor & Francis 02.10.2015
American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America
Taylor & Francis Ltd
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ISSN:1061-8600, 1537-2715
Online-Zugang:Volltext
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