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Volumn 2011, Issue , 2011, Pages

Relationship matrix nonnegative decomposition for clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ACCURACY; LATENT STRUCTURES; LEARNING PROCEDURES; LOW RANK; MULTIPLICATIVE UPDATES; NON-NEGATIVE MATRIX; NON-NEGATIVE SOLUTIONS; NONNEGATIVE MATRIX FACTORIZATION; PAIRWISE SIMILARITY MATRIX; POSITIVE SEMIDEFINITE MATRICES; RELATIONSHIP MATRIX;

EID: 79959226605     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2011/864540     Document Type: Article
Times cited : (4)

References (17)
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  • 7
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    • Hoyer P. O., Non-negative matrix factorization with sparseness constraints Journal of Machine Learning Research 2004 5 1457 1469
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    • Chen Y., Rege M., Dong M., Hua J., Non-negative matrix factorization for semi-supervised data clustering Knowledge and Information Systems 2008 17 3 355 379
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    • Chen, Y.1    Rege, M.2    Dong, M.3    Hua, J.4
  • 12
    • 77949767628 scopus 로고    scopus 로고
    • Nonlinear non-negative component analysis algorithms
    • Zafeiriou S., Petrou M., Nonlinear non-negative component analysis algorithms IEEE Transactions on Image Processing 2010 19 4 1050 1066
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    • DOI 10.1109/TKDE.2005.198
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  • 17
    • 77952546541 scopus 로고    scopus 로고
    • Principal component analysis based on nonparametric maximum entropy
    • He R., Hu B. G., Yuan X. T., Zeng W. S., Principal component analysis based on nonparametric maximum entropy Neurocomputing 2010 1840 1852
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.