2. Unsupervised learning ぱらぱらめくるscikit-learnのUser guide

• 2.1 Gaussian Mixture Models
• 2.2 Manifold Learning
• 2.3 Clustering
• 2.4 Biclustering
• 2.5 Decomposing Signals in Components (Matrix Factorization Problems)
• 2.6 Covariance Estimation
• 2.7 Novelty and Outlier Detection
• 2.8 Density Estimation
• 2.9 Neural Network Models (Unsupervised)