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Decomposition

Examples concerning the sklearn.decomposition module.

Blind source separation using FastICA

Comparison of LDA and PCA 2D projection of Iris dataset

Faces dataset decompositions

Factor Analysis (with rotation) to visualize patterns

FastICA on 2D point clouds

Image denoising using dictionary learning

Incremental PCA

Kernel PCA

Model selection with Probabilistic PCA and Factor Analysis (FA)

Principal Component Analysis (PCA) on Iris Dataset

Sparse coding with a precomputed dictionary

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https://scikit-learn.org/1.6/auto_examples/decomposition/index.html