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» Incremental clustering via nonnegative matrix factorization
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ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
13 years 11 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
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
13 years 11 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
BMCBI
2006
119views more  BMCBI 2006»
13 years 5 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
BIOINFORMATICS
2008
109views more  BIOINFORMATICS 2008»
13 years 5 months ago
Ensemble non-negative matrix factorization methods for clustering protein-protein interactions
Derek Greene, Gerard Cagney, Nevan J. Krogan, Padr...
ECML
2005
Springer
13 years 11 months ago
Fast Non-negative Dimensionality Reduction for Protein Fold Recognition
Abstract. In this paper, dimensionality reduction via matrix factorization with nonnegativity constraints is studied. Because of these constraints, it stands apart from other linea...
Oleg Okun, Helen Priisalu, Alexessander Alves