Computation times

00:36.926 total execution time for auto_examples_decomposition files:

Image denoising using dictionary learning (plot_image_denoising.py)	00:28.412	0.0 MB
Model selection with Probabilistic PCA and Factor Analysis (FA) (plot_pca_vs_fa_model_selection.py)	00:05.357	0.0 MB
Kernel PCA (plot_kernel_pca.py)	00:01.112	0.0 MB
Sparse coding with a precomputed dictionary (plot_sparse_coding.py)	00:00.471	0.0 MB
Factor Analysis (with rotation) to visualize patterns (plot_varimax_fa.py)	00:00.310	0.0 MB
FastICA on 2D point clouds (plot_ica_vs_pca.py)	00:00.225	0.0 MB
Beta-divergence loss functions (plot_beta_divergence.py)	00:00.216	0.0 MB
Incremental PCA (plot_incremental_pca.py)	00:00.214	0.0 MB
Blind source separation using FastICA (plot_ica_blind_source_separation.py)	00:00.213	0.0 MB
Comparison of LDA and PCA 2D projection of Iris dataset (plot_pca_vs_lda.py)	00:00.174	0.0 MB
Principal components analysis (PCA) (plot_pca_3d.py)	00:00.146	0.0 MB
PCA example with Iris Data-set (plot_pca_iris.py)	00:00.073	0.0 MB
Faces dataset decompositions (plot_faces_decomposition.py)	00:00.004	0.0 MB