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A spatial Dirichlet process mixture model for clustering population genetics data
Identifying homogeneous groups of individuals is an important problem in population genetics. Recently, several methods have been proposed that exploit spatial information to improve clustering algorithms. In this paper we develop a Bayesian clustering algorithm based on the Dirichlet process prior...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2010
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3043140/ https://ncbi.nlm.nih.gov/pubmed/20825394 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01484.x |
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