IAE-ClusterGAN: A new Inverse autoencoder for Generative Adversarial Attention Clustering network

Clustering is a challenging and crucial task in unsupervised learning. Recently, though many clustering algorithms combined with deep learning have been proposed, we observe that the existing deep clustering algorithms do not considerably preserve the clustering structure and information of raw data...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 465; s. 406 - 416
Hlavní autori:	Ling, Chao, Cao, Guitao, Cao, Wenming, Wang, Hong, Ren, He
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 20.11.2021
Predmet:	Attention mechanism Clustering Inverse autoencoder Latent code Unsupervised learning Attention mechanism Latent code Inverse autoencoder Clustering Unsupervised learning
ISSN:	0925-2312, 1872-8286
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