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pca
- PCA是主成分分析，例子中有一个三维点阵图像，最后结果为二维图像。-PCA is the principal component analysis, a three-dimensional lattice image example, the final results for the two-dimensional image.
menglun
- 插值与拟合的matlab实现，借鉴了主成分分析算法（PCA），利用最小二乘算法实现对三维平面的拟合。- Interpolation and fitting matlab implementation, It draws on principal component analysis algorithm (PCA), Least-squares algorithm to fit a three-dimensional plane.
bunbiu_v13
- 用于特征降维，特征融合，相关分析等,用于建立主成分分析模型，复化三点Gauss-lengend公式求pi。- For feature reduction, feature fusion, correlation analysis, Principal component analysis model for establishing, Complex of three-point Gauss-lengend the Formula pi.
code
- 三维主成分分析、重建及演示的demo，给出了心脏样本的案例(Demonstration of 3D Principal Component Analysis, Reconstruction and Demonstration)
pca
- 将原始数据由三维降到二维，保证功率在95%达到100%的还原率(Drop data from three dimensions to two dimensions)