Computation timesΒΆ
38:45.233 total execution time for auto_examples_decomposition files:
Image denoising using dictionary learning (plot_image_denoising.py) |
25:43.171 | 0.0 MB |
Model selection with Probabilistic PCA and Factor Analysis (FA) (plot_pca_vs_fa_model_selection.py) |
12:24.066 | 0.0 MB |
Kernel PCA (plot_kernel_pca.py) |
00:11.362 | 0.0 MB |
Sparse coding with a precomputed dictionary (plot_sparse_coding.py) |
00:07.864 | 0.0 MB |
FastICA on 2D point clouds (plot_ica_vs_pca.py) |
00:05.282 | 0.0 MB |
Beta-divergence loss functions (plot_beta_divergence.py) |
00:04.162 | 0.0 MB |
Blind source separation using FastICA (plot_ica_blind_source_separation.py) |
00:02.433 | 0.0 MB |
Principal components analysis (PCA) (plot_pca_3d.py) |
00:02.127 | 0.0 MB |
Incremental PCA (plot_incremental_pca.py) |
00:02.070 | 0.0 MB |
Comparison of LDA and PCA 2D projection of Iris dataset (plot_pca_vs_lda.py) |
00:01.719 | 0.0 MB |
PCA example with Iris Data-set (plot_pca_iris.py) |
00:00.926 | 0.0 MB |
Faces dataset decompositions (plot_faces_decomposition.py) |
00:00.051 | 0.0 MB |