An Actual Survey of Dimensionality Reduction

• 作者: Alireza Sarveniazi
• 来源期刊: 美国计算数学期刊(英文)
• 学科: 工学
• 关键词: Dimensionality REDUCTION METHODS
• 年，卷（期）: 2014,（2）
• 页码范围: 55-72
• 页数: 18页
• 分类号: TP39

摘要

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.