Computation times

00:59.967 total execution time for auto_examples_decomposition files:

Image denoising using dictionary learning (plot_image_denoising.py)

00:30.888

0.0 MB

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

00:26.553

0.0 MB

Kernel PCA (plot_kernel_pca.py)

00:00.441

0.0 MB

Sparse coding with a precomputed dictionary (plot_sparse_coding.py)

00:00.418

0.0 MB

Beta-divergence loss functions (plot_beta_divergence.py)

00:00.310

0.0 MB

FastICA on 2D point clouds (plot_ica_vs_pca.py)

00:00.297

0.0 MB

Blind source separation using FastICA (plot_ica_blind_source_separation.py)

00:00.285

0.0 MB

Incremental PCA (plot_incremental_pca.py)

00:00.259

0.0 MB

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

00:00.241

0.0 MB

Principal components analysis (PCA) (plot_pca_3d.py)

00:00.170

0.0 MB

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

00:00.097

0.0 MB

Faces dataset decompositions (plot_faces_decomposition.py)

00:00.008

0.0 MB