An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model

This paper presents an integrated approach for the estimation of the parameters of a mixture model in the context of data clustering. The method is designed to estimate the unknown number of clusters from observed data. For this, we marginalize out the weights for getting allocation probabilities th...

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Detalles Bibliográficos
Autores principales: Saraiva, Erlandson Ferreira, Suzuki,  Adriano Kamimura, Milan, Luis Aparecido, Pereira, Carlos Alberto de Bragança
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514367/
http://dx.doi.org/10.3390/e21111063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514367/
http://dx.doi.org/10.3390/e21111063

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