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The different low dimensional embeddings are an orthonormal coordinate system generated from a
1. Diffusion process defined on the data
2 . Normalized Laplace Beltrami operator
3. Normalized Focker Plank operator

This is a nonlinear dimension reduction technique using the concepts of manifold learning. The image is color coded. (2 data sets which are 2 dimensional each are being clustered using this algorithm using the first three non trivial eigen function of the normalized Focker Plank operator)

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