Directory: Special Effects
Plat: matlab
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Upload time: 2019-03-26 17:25:36
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Description:   PCA(Principal Component Analysis) is the most widely used data dimensionality reduction algorithm. The main idea of PCA is to map the n-dimensional feature to the k-dimensional feature, which is a new orthogonal feature also known as the principal component and a k-dimensional feature reconstructed on the basis of the original n-dimensional feature.

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PCAdemo.m, 3116 , 2018-08-11

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