Spectral Embedded Deep Clustering

We propose a new clustering method based on a deep neural network. Given an unlabeled dataset and the number of clusters, our method directly groups the dataset into the given number of clusters in the original space. We use a conditional discrete probability distribution defined by a deep neural ne...

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Detalles Bibliográficos
Autores principales: Wada, Yuichiro, Miyamoto, Shugo, Nakagama, Takumi, Andéol, Léo, Kumagai, Wataru, Kanamori, Takafumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515324/
https://www.ncbi.nlm.nih.gov/pubmed/33267508
http://dx.doi.org/10.3390/e21080795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515324/
https://www.ncbi.nlm.nih.gov/pubmed/33267508
http://dx.doi.org/10.3390/e21080795

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