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Clustering and Variable Selection in the Presence of Mixed Variable Types and Missing Data
We consider the problem of model-based clustering in the presence of many correlated, mixed continuous and discrete variables, some of which may have missing values. Discrete variables are treated with a latent continuous variable approach and the Dirichlet process is used to construct a mixture mod...
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| Publicado no: | Stat Med |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6240391/ https://ncbi.nlm.nih.gov/pubmed/29774571 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7697 |
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