Robust deep k-means: An effective and simple method for data clustering

•A novel robust deep model is proposed to perform k-means hierarchically, thus the hierarchical semantics of data can be explored in a layerwise way. As a result, data samples from the same class are effectively gathered closer layer by layer.•To solve the optimization problem of our model, the corr...

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Bibliographic Details

Published in:	Pattern recognition Vol. 117; p. 107996
Main Authors:	Huang, Shudong, Kang, Zhao, Xu, Zenglin, Liu, Quanhui
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2021
Subjects:	[formula omitted]-means algorithm Deep learning Robust clustering Robust clustering Deep learning k-means algorithm
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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