The main principle and applications to astrophysics of PCA are reviewed in this paper.
介绍了主成分分析法的原理和它在天体物理中的广泛应用。
The main work and progress are listed as follows: 1 Implement the improved PCA and isotropic preprocessing algorithm, and we also compare and analyze the experimental results.
主要研究进展有：1实现了改进的PCA和各向同性两种三维模型预处理方法，并对其实验结果进行对比分析。
Main compositions: extract of grape PIP, Water-solubility ceramide, Iyophilic sodium PCA, unique factor, Soybean extract.
主要成份：葡萄籽精华、水溶性神经酰胺、亲水性保湿因子、特制因子、大豆萃取精华。
Main compositions: Lactipeppermint, Thermal water extract, Dissolubility hyaluronic acid, extract of sweet tea, Iyophilic sodium PCA.
主要成份：乳酸薄荷脂、温泉水精华、溶性透明质酸、甜茶萃取液、亲水性保湿因子。
Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.
主成分分析法是从观测数据中获取主要信息的一种多变量统计方法。
Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.
主成分分析法是从观测数据中获取主要信息的一种多变量统计方法。
应用推荐