Computation times

00:24.071 total execution time for auto_examples_decomposition files:

Image denoising using dictionary learning (plot_image_denoising.py)

00:14.332

0.0 MB

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

00:06.013

0.0 MB

Kernel PCA (plot_kernel_pca.py)

00:01.375

0.0 MB

Sparse coding with a precomputed dictionary (plot_sparse_coding.py)

00:00.477

0.0 MB

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

00:00.309

0.0 MB

Faces dataset decompositions (plot_faces_decomposition.py)

00:00.298

0.0 MB

FastICA on 2D point clouds (plot_ica_vs_pca.py)

00:00.227

0.0 MB

Incremental PCA (plot_incremental_pca.py)

00:00.220

0.0 MB

Beta-divergence loss functions (plot_beta_divergence.py)

00:00.218

0.0 MB

Blind source separation using FastICA (plot_ica_blind_source_separation.py)

00:00.209

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)

00:00.147

0.0 MB

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

00:00.075

0.0 MB