GitHub / rupalshrivastava / Unsupervised-Learning

Performed feature dimensionality reduction algorithms including feature selection, PCA, ICA, and Randomized Projections. Implemented K means, and Expectation Maximization for classification clustering problems. Compared both the algorithms' results with ANN.

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Topics: dimensionality-reduction, expectation-maximization, expectation-maximization-algorithm, feature-selection, independent-component-analysis, kmeans-clustering, kmeans-clustering-algorithm, pca, pca-analysis, principal-component-analysis

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