On Dimensionality Reduction of Data
Random projection method is one of the important tools for the dimensionality reduction of data which can be made efficient with strong error guarantees. In this thesis, we focus on linear transforms of high dimensional data to the low dimensional space satisfying the Johnson-Lindenstrauss lemma. In...
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| Format: | Others |
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ScholarWorks@UNO
2010
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| Online Access: | http://scholarworks.uno.edu/td/1211 http://scholarworks.uno.edu/cgi/viewcontent.cgi?article=2194&context=td |