AJCM  Vol.4 No.2 , March 2014
An Actual Survey of Dimensionality Reduction
Abstract: Dimension reduction is defined as the processes of projecting high-dimensional data to a much lower-dimensional space. Dimension reduction methods variously applied in regression, classification, feature analysis and visualization. In this paper, we review in details the last and most new version of methods that extensively developed in the past decade.
Cite this paper: Sarveniazi, A. (2014) An Actual Survey of Dimensionality Reduction. American Journal of Computational Mathematics, 4, 55-72. doi: 10.4236/ajcm.2014.42006.

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