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Binary/Multi classification exercise using Orthogonal Projections of the MNIST dataset obtained through SVD. The choice of the training set is made in an unbalanced way.

Jupyter Notebook 96.07% Python 3.93%
mnist svd orthogonal-projection distance-measures norms binary-classification multi-class-classification

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