Label propagation based semi-supervised non-negative matrix factorization for feature extraction

Y Yi, Y Shi, H Zhang, J Wang, J Kong - Neurocomputing, 2015 - Elsevier
As a feature extraction method, Non-negative Matrix Factorization (NMF) has attracted much
attention due to its effective application to data classification and clustering tasks. In this …
被引用次数：40 相关文章

Label propagation based semi-supervised non-negative matrix factorization for feature extraction

Y Yi, Y Shi, H Zhang, J Wang, J Kong - Neurocomputing, 2015 - academia.edu
abstract As a feature extraction method, Non-negative Matrix Factorization (NMF) has
attracted much attention due to its effective application to data classification and clustering …

Label propagation based semi-supervised non-negative matrix factorization for feature extraction

Y Yi, Y Shi, H Zhang, J Wang, J Kong - Neurocomputing, 2015 - infona.pl
As a feature extraction method, Non-negative Matrix Factorization (NMF) has attracted much
attention due to its effective application to data classification and clustering tasks. In this …

Label propagation based semi-supervised non-negative matrix factorization for feature extraction

Y Yi, Y Shi, H Zhang, J Wang, J Kong - Neurocomputing, 2015 - dl.acm.org
As a feature extraction method, Non-negative Matrix Factorization (NMF) has attracted much
attention due to its effective application to data classification and clustering tasks. In this …
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[PDF][PDF] Label propagation based semi-supervised non-negative matrix factorization for feature extraction

Y Yi, Y Shi, H Zhang, J Wang, J Kong - Neurocomputing, 2015 - drive.google.com
abstract As a feature extraction method, Non-negative Matrix Factorization (NMF) has
attracted much attention due to its effective application to data classification and clustering …