Image clustering by hyper-graph regularized non-negative matrix factorization

Neurocomputing

Volumn 138, Issue , 2014, Pages 209-217

  Zeng, Kun ^a   Yu, Jun ^b,c   Li, Cuihua ^a   You, Jane ^c   Jin, Taisong ^a  

^a XIAMEN UNIVERSITY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Dimension reduction; Hyper graph laplacian; Image clustering; Manifold regularization; Non negative matrix factorization

Indexed keywords

ALGORITHMS; CONTENT BASED RETRIEVAL; GEOMETRY; GRAPH THEORY; IMAGE PROCESSING; PATTERN RECOGNITION;

DIMENSION REDUCTION; IMAGE CLUSTERING; LAPLACIANS; MANIFOLD REGULARIZATIONS; NONNEGATIVE MATRIX FACTORIZATION;

FACTORIZATION;

ACCURACY; ALGORITHM; ARTICLE; CALCULATION; CLUSTER ANALYSIS; CONTROLLED STUDY; GEOMETRY; HYPERGRAPH REGULARIZED NONNEGATIVE MATRIX FACTORIZATION; IMAGE PROCESSING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PATTERN RECOGNITION; PRIORITY JOURNAL; PROBABILITY; PROCESS OPTIMIZATION;

EID: 84899903932     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.01.043     Document Type: Article

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