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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |