关键词: 高维数据, 维度灾难, 降维技术, 研究进展

Abstract:

Dimensionality reduction technologies is a technique designed to map high-dimensional data to a high-dimensional space to find a compact structure of data, which facilitates further processing of the data. With the rapid development of multimedia and computer technology, the data dimension grows explosively, which makes the image processing, machine learning and other areas of data analysis becomes increasingly difficult, in order to eliminate the problem of the dimension disaster, the researchers put forward a series of solutions. In order to explore the practicality of these dimensionality reduction technologies, this paper introduces the traditional dimensionality reduction technologies and the dimensionality reduction technologies in recent years, then analyzes the performance of the typical dimensionality reduction technologies. Finally, the problems that still exist in the dimensionality reduction technologies are pointed out and some suggestions about future research work are discussed.

Key words: high-dimensional data;curse of dimensionality;dimensionality reduction technology;research progress