Computation timesΒΆ
13:38.602 total execution time for auto_examples_decomposition files:
12:02.303: Model selection with Probabilistic PCA and Factor Analysis (FA) (
plot_pca_vs_fa_model_selection.py
)01:07.183: Image denoising using dictionary learning (
plot_image_denoising.py
)00:20.927: Faces dataset decompositions (
plot_faces_decomposition.py
)00:01.452: Sparse coding with a precomputed dictionary (
plot_sparse_coding.py
)00:01.253: Kernel PCA (
plot_kernel_pca.py
)00:01.117: FastICA on 2D point clouds (
plot_ica_vs_pca.py
)00:01.001: Beta-divergence loss functions (
plot_beta_divergence.py
)00:00.883: Incremental PCA (
plot_incremental_pca.py
)00:00.797: Principal components analysis (PCA) (
plot_pca_3d.py
)00:00.707: Comparison of LDA and PCA 2D projection of Iris dataset (
plot_pca_vs_lda.py
)00:00.683: Blind source separation using FastICA (
plot_ica_blind_source_separation.py
)00:00.293: PCA example with Iris Data-set (
plot_pca_iris.py
)