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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Bibliographic Details
Published in:Journal of computational and graphical statistics Vol. 24; no. 4; pp. 994 - 1013
Main Authors: Chi, Eric C., Lange, Kenneth
Format: Journal Article
Language:English
Published: 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 Access:Get full text
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