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Examining the effect of initialization strategies on the performance of Gaussian mixture modeling
Mixture modeling is a popular technique for identifying unobserved subpopulations (e.g., components) within a data set, with Gaussian (normal) mixture modeling being the form most widely used. Generally, the parameters of these Gaussian mixtures cannot be estimated in closed form, so estimates are t...
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| Publicado no: | Behav Res Methods |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4930421/ https://ncbi.nlm.nih.gov/pubmed/26721666 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13428-015-0697-6 |
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