Computation times¶

01:16.932 total execution time for auto_examples_decomposition files:

Image denoising using dictionary learning (`plot_image_denoising.py`)	00:43.820	0.0 MB
Model selection with Probabilistic PCA and Factor Analysis (FA) (`plot_pca_vs_fa_model_selection.py`)	00:29.951	0.0 MB
Kernel PCA (`plot_kernel_pca.py`)	00:00.571	0.0 MB
Sparse coding with a precomputed dictionary (`plot_sparse_coding.py`)	00:00.507	0.0 MB
Beta-divergence loss functions (`plot_beta_divergence.py`)	00:00.476	0.0 MB
Blind source separation using FastICA (`plot_ica_blind_source_separation.py`)	00:00.383	0.0 MB
Incremental PCA (`plot_incremental_pca.py`)	00:00.339	0.0 MB
Comparison of LDA and PCA 2D projection of Iris dataset (`plot_pca_vs_lda.py`)	00:00.297	0.0 MB
Principal components analysis (PCA) (`plot_pca_3d.py`)	00:00.221	0.0 MB
FastICA on 2D point clouds (`plot_ica_vs_pca.py`)	00:00.200	0.0 MB
PCA example with Iris Data-set (`plot_pca_iris.py`)	00:00.115	0.0 MB
Faces dataset decompositions (`plot_faces_decomposition.py`)	00:00.053	0.0 MB