DCSR: Deep clustering under similarity and reconstruction constraints
Clustering is a difficult but crucial task in pattern recognition and machine learning. Inherently, clustering methods are always subject to the uncertainty of similarities between samples. To weaken the impact of such uncertainty, we develop Deep Clustering with both Adaptive Siamese Loss (ASL) and...
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Published in | Neurocomputing (Amsterdam) Vol. 411; pp. 216 - 228 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
21.10.2020
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Subjects | |
Online Access | Get full text |
ISSN | 0925-2312 1872-8286 |
DOI | 10.1016/j.neucom.2020.06.013 |
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