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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 hierarchi...
Gardado en:
| Publicado en: | J Comput Graph Stat |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4830509/ https://ncbi.nlm.nih.gov/pubmed/27087770 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2014.948181 |
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