Data Clustering with Semi-binary Nonnegative Matrix Factorization

Rafał Zdunek

doi:10.1007/978-3-540-69731-2_68

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Data Clustering with Semi-binary Nonnegative Matrix Factorization

Rafał Zdunek

Year: 2008 Lecture notes in computer science Pages: 705-716 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-69731-2_68

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Keywords:

Non-negative matrix factorization Cluster analysis Centroid Multiplicative function Pattern recognition (psychology) Computer science Binary number Matrix decomposition Nonnegative matrix Feature vector Artificial intelligence Algorithm Mathematics Symmetric matrix Eigenvalues and eigenvectors

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Data Clustering with Semi-binary Nonnegative Matrix Factorization

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