Description: Face pattern analysis, data mining massive data, dimension reduction algorithm has become the most powerful scientific tool for staff. Dimensionality reduction algorithm of high academic value and potential applications of this paper a more detailed review of the existing dimensionality reduction algorithms and their applications in pattern analysis. On this basis, focusing on improving the embedding space, different types of distance between samples, we proposed two kinds of cases supervised manifold learning algorithm simulation and actual data have shown a supervised manifold learning algorithm good performance.
To Search:
File list (Check if you may need any files):
基于子空间和流形的降维算法研究.pdf
Download