Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding

In this paper, we develop an unsupervised generative clustering framework that combines the variational information bottleneck and the Gaussian mixture model. Specifically, in our approach, we use the variational information bottleneck method and model the latent space as a mixture of Gaussians. We...

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Detalles Bibliográficos
Autores principales: Uğur, Yiğit, Arvanitakis, George, Zaidi, Abdellatif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516645/
https://www.ncbi.nlm.nih.gov/pubmed/33285988
http://dx.doi.org/10.3390/e22020213

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516645/
https://www.ncbi.nlm.nih.gov/pubmed/33285988
http://dx.doi.org/10.3390/e22020213

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