PCA and Laplacian Eigenmap optimize for very different objectives, but we can characterize both algorithms in terms of computing the eigenvectors of a matrix representation of a graph formed from our data! Read more here:http://danshiebler.com/2020-05-09-pca-laplacian/ …
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