Clustering with Similarity Preserving
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DOI: 10.1016/j.neucom.2019.07.086
Abstract: Graph-based clustering has shown promising performance in many tasks. A key step of graph-based approach is the similarity graph construction. In general, learning graph in kernel space can enhance clustering accuracy due to the incorporation… read more here.
Keywords: graph learning; similarity preserving; similarity; graph ... See more keywords
DCSR: Deep clustering under similarity and reconstruction constraints
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DOI: 10.1016/j.neucom.2020.06.013
Abstract: Abstract 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… read more here.
Keywords: reconstruction; clustering similarity; deep clustering; similarity reconstruction ... See more keywords