Non-negative and sparse spectral clustering
type: Item
instance of: scholarly article
title: Non-negative and sparse spectral clustering
zbMATH Open document ID: 1326.68231
author: Hongtao Lu
author: Zhenyong Fu
author: Xin Shu
published in: Pattern Recognition
publication date: 2015-12-08T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 05C50
Mathematics Subject Classification ID: 05C90
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 6517897
zbMATH Keywords: spectral clustering
zbMATH Keywords: non-negative matrix factorization
zbMATH Keywords: ratio cut
zbMATH Keywords: normalized cut
zbMATH Keywords: sparseness
describes a project that uses: Graclus
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.patcog.2013.07.003
OpenAlex ID: W1989773214
cites work: Q5691133
cites work: Multiway spectral clustering: a margin-based perspective
cites work: Q3174030
cites work: Learning the parts of objects by non-negative matrix factorization
cites work: Projected Gradient Methods for Nonnegative Matrix Factorization
cites work: For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
cites work: Q4864293
cites work: Q3093232
DOI: 10.1016/J.PATCOG.2013.07.003
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description: scientific article; zbMATH DE number 6517897