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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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| Publicado en: | Entropy (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516645/ https://ncbi.nlm.nih.gov/pubmed/33285988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22020213 |
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