Principal component analysis algorithm
2016-08-23
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PCA, which is PrincipalComponents Analysis, principal component analysis , a very good algorithm, its principle is to find the smallest mean square sense that best represent the projection of the original data and then my argument is: mainly on feature dimension reduction. In addition, the algorithm also has a classic applications: face recognition. Pull up a bit here, is nothing more than good face image processing chip in together as a feature vector for each row, and then use the PAC of dimensionality reduction algorithm to get.
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