Graph Regularized Nonnegative Matrix Factorization for Data Representation

Matrix factorization techniques have been frequently applied in information retrieval, computer vision, and pattern recognition. Among them, Nonnegative Matrix Factorization (NMF) has received considerable attention due to its psychological and physiological interpretation of naturally occurring dat...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2011-08, Vol.33 (8), p.1548-1560
Hauptverfasser:	Deng Cai, Xiaofei He, Jiawei Han, Huang, T S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Brain Brain - physiology Cluster Analysis clustering Clustering algorithms Computer science control theory systems Exact sciences and technology Factorization graph Laplacian Graphs Humans Image Processing, Computer-Assisted - methods Information retrieval Information retrieval. Graph Information systems. Data bases Linear approximation manifold regularization Manifolds Matrix decomposition Memory organisation. Data processing Models, Biological Models, Statistical Nearest neighbor searches Nonnegative matrix factorization Pattern analysis Pattern recognition Pattern recognition. Digital image processing. Computational geometry Representations Semantics Software Studies Theoretical computing
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