Decomposition¶
Examples concerning the sklearn.decomposition
module.
Beta-divergence loss functions
Beta-divergence loss functions
Blind source separation using FastICA
Blind source separation using FastICA
Comparison of LDA and PCA 2D projection of Iris dataset
Comparison of LDA and PCA 2D projection of Iris dataset
Faces dataset decompositions
Factor Analysis (with rotation) to visualize patterns
Factor Analysis (with rotation) to visualize patterns
FastICA on 2D point clouds
Image denoising using dictionary learning
Image denoising using dictionary learning
Incremental PCA
Kernel PCA
Model selection with Probabilistic PCA and Factor Analysis (FA)
Model selection with Probabilistic PCA and Factor Analysis (FA)
PCA example with Iris Data-set
PCA example with Iris Data-set
Principal components analysis (PCA)
Principal components analysis (PCA)
Sparse coding with a precomputed dictionary
Sparse coding with a precomputed dictionary