Deep embedding clustering based on contractive autoencoder

Clustering large and high-dimensional document data has got a great interest. However, current clustering algorithms lack efficient representation learning. Implementing deep learning techniques in document clustering can strengthen the learning processes. In this work, we simultaneously disentangle...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 433; s. 96 - 107
Hlavní autori:	Diallo, Bassoma, Hu, Jie, Li, Tianrui, Khan, Ghufran Ahmad, Liang, Xinyan, Zhao, Yimiao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 14.04.2021
Predmet:	Contractive autoencoder Deep embedding clustering Deep learning Document clustering Representation learning Representation learning Contractive autoencoder Deep learning Deep embedding clustering Document clustering
ISSN:	0925-2312
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