An Actual Survey of Dimensionality Reduction
Alireza Sarveniazi · American Journal of Computational Mathematics · 2014
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.