Computation times

00:38.746 total execution time for auto_examples_decomposition files:

Image denoising using dictionary learning (plot_image_denoising.py)

00:29.259

0.0 MB

Model selection with Probabilistic PCA and Factor Analysis (FA) (plot_pca_vs_fa_model_selection.py)

00:06.183

0.0 MB

Kernel PCA (plot_kernel_pca.py)

00:01.195

0.0 MB

Sparse coding with a precomputed dictionary (plot_sparse_coding.py)

00:00.469

0.0 MB

Factor Analysis (with rotation) to visualize patterns (plot_varimax_fa.py)

00:00.315

0.0 MB

FastICA on 2D point clouds (plot_ica_vs_pca.py)

00:00.244

0.0 MB

Blind source separation using FastICA (plot_ica_blind_source_separation.py)

00:00.239

0.0 MB

Incremental PCA (plot_incremental_pca.py)

00:00.221

0.0 MB

Beta-divergence loss functions (plot_beta_divergence.py)

00:00.219

0.0 MB

Comparison of LDA and PCA 2D projection of Iris dataset (plot_pca_vs_lda.py)

00:00.182

0.0 MB

Principal components analysis (PCA) (plot_pca_3d.py)

00:00.143

0.0 MB

PCA example with Iris Data-set (plot_pca_iris.py)

00:00.072

0.0 MB

Faces dataset decompositions (plot_faces_decomposition.py)

00:00.003

0.0 MB