Biclustering via Sparse Singular Value Decomposition
Biclustering via Sparse Singular Value Decomposition
About this item
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Author / Creator
Publisher
Malden, USA: Blackwell Publishing Inc
Journal title
Language
English
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Publisher
Malden, USA: Blackwell Publishing Inc
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Scope and Contents
Contents
Summary Sparse singular value decomposition (SSVD) is proposed as a new exploratory analysis tool for biclustering or identifying interpretable row-column associations within high-dimensional data matrices. SSVD seeks a low-rank, checkerboard structured matrix approximation to data matrices. The desired checkerboard structure is achieved by forcing...
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Full title
Biclustering via Sparse Singular Value Decomposition
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_miscellaneous_821194231
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_821194231
Other Identifiers
ISSN
0006-341X
E-ISSN
1541-0420
DOI
10.1111/j.1541-0420.2010.01392.x
