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Lab 2

Spectral clustering and semi supervised learning

  • Explore spectral clustering on a toy dataset (noisymoon), and then extend it to MNIST.

  • Semi-supervised methods and learning in a RKHS (with manifold regularization), including study of stability:

    • Self Training algorithm
    • Laplacian Regularized Least Squares
    • Laplacian SVM