pca principal component analysis pca主元分析
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 used in data compressing and statistical features extracting.
主分量分析技术通常用于数据压缩和统计特征的提取。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
应用推荐