Bootstrap Deep Spectral Clustering with Optimal Transport

Spectral clustering is a leading clustering method. Two of its major shortcomings are the disjoint optimization process and the limited representation capacity. To address these issues, we propose a deep spectral clustering model (named BootSC), which jointly learns all stages of spectral clustering...

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Vydané v:	IEEE transactions on multimedia s. 1 - 14
Hlavní autori:	Guo, Wengang, Ye, Wei, Chen, Chunchun, Sun, Xin, Bohm, Christian, Plant, Claudia, Rahardja, Susanto
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Clustering algorithms Deep clustering Pattern recognition Spectral clustering Unsupervised learning
ISSN:	1520-9210, 1941-0077
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