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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 hierarchical clustering shrink cluster centroids toward one another and ensure a unique global minimizer. ...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2015
ISSN: 1061-8600,1537-2715
DOI: 10.1080/10618600.2014.948181