This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo

提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上 进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p

STC12c5a08s2调试通过的舵机脉宽16位精度控制。给有需要的人。用PCA快速模式和中断实现。-STC12c5a08s2 debugging 16-bit pulse through the steering precision control. To those in need. Use the fast mode and interrupt PCA.

独立成分分析中，将各个音频混合之后再将每个成分分离出来，并与PCA的结果做比较。-complete ICA，and compare with PCA。