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Description: PCA算法程序设计步骤：
1、取均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量
-PCA algorithm programming steps: 1, access means 2, the calculation of covariance matrix and its eigenvalues and eigenvectors 3, calculating the covariance matrix of eigenvalues greater than the threshold number of 4, in descending order of eigenvalues 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, whitening matrix calculation 10, principal component extraction
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Size: 4096 |
Author: 晓琳 |
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Description: PCA算法的简单编程，希望有问题能进行讨论。(A simple PCA programming algorithm, hope to have problems to discuss.)
Platform: |
Size: 1024 |
Author: 酷盖狼
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