Gaussian mixture models Manifold learning Covariance estimation Novelty and Outlier Detection Neural network models Clustering (pt I) Clustering (pt II) Biclustering Decomposing signals in components Density Estimation

Unsupervised learning

Gaussian mixture models

Manifold learning

Covariance estimation

Novelty and Outlier Detection

Neural network models (unsupervised)

Clustering (pt I)

Clustering (pt II)

Biclustering

Decomposing signals in components (matrix factorization problems)

Density Estimation
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Unsupervised learning Section structure

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