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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| Published in: | Journal of computational and graphical statistics Vol. 24; no. 4; pp. 994 - 1013 |
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| Main Authors: | , |
| 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 |
| Subjects: | |
| ISSN: | 1061-8600, 1537-2715 |
| Online Access: | Get full text |
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