TITLE:
An Actual Survey of Dimensionality Reduction
AUTHORS:
Alireza Sarveniazi
KEYWORDS:
Dimensionality Reduction Methods
JOURNAL NAME:
American Journal of Computational Mathematics,
Vol.4 No.2,
March
21,
2014
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.