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ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
13 years 10 months ago
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering
The nonnegative matrix factorization (NMF) has been shown recently to be useful for clustering. Various extensions of NMF have also been proposed. In this paper we present an over...
Tao Li, Chris H. Q. Ding
BMCBI
2006
170views more  BMCBI 2006»
13 years 4 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
TKDE
2010
224views more  TKDE 2010»
12 years 11 months ago
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
Yanhua Chen, Lijun Wang, Ming Dong
BMCBI
2006
119views more  BMCBI 2006»
13 years 4 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
COST
2010
Springer
131views Multimedia» more  COST 2010»
12 years 11 months ago
Understanding Parent-Infant Behaviors Using Non-negative Matrix Factorization
Abstract. There are considerable differences among infants in the quality of interaction with their parents. These differences depend especially on the infants development which af...
Ammar Mahdhaoui, Mohamed Chetouani