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Performance Evaluation of Missing-Value Imputation Clustering Based on a Multivariate Gaussian Mixture Model
BACKGROUND: It is challenging to deal with mixture models when missing values occur in clustering datasets. METHODS AND RESULTS: We propose a dynamic clustering algorithm based on a multivariate Gaussian mixture model that efficiently imputes missing values to generate a “pseudo-complete” dataset. P...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4994954/ https://ncbi.nlm.nih.gov/pubmed/27552203 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0161112 |
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