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pca and manifold learning

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Comparison of PCA and Manifold Learning -- astroML 0.2 documentation

#artificialintelligenceMay-12-2016, 01:15:52 GMT

The top-left panel shows an example S-shaped data set (a two-dimensional manifold in a three-dimensional space). PCA identifies three principal components within the data. Manifold learning (LLE and IsoMap) preserves the local structure when projecting the data, preventing the mixing of the colors.

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