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Demo of HDBSCAN clustering algorithm — scikit-l...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1.5 , - 1.5 ]] X , labels_true...== - 1 : # Black used for noise. col = [ 0 , 0 , 0 , 1 ] class_index...scikit-learn.org/stable/auto_examples/cluster/plot_hdbscan.html -
Demonstration of k-means assumptions — scikit-l...
transformation = [[ 0.60834549 , - 0.63667341 ], [ - 0.40887718 , 0.85253229...y == 0 ][: 500 ], X [ y == 1 ][: 100 ], X [ y == 2 ][: 10 ]) )...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Density Estimation for a Gaussian mixture — sci...
vmin = 1.0 , vmax = 1000.0 ), levels = np . logspace ( 0 , 3 ,...C = np . array ([[ 0.0 , - 0.7 ], [ 3.5 , 0.7 ]]) stretched_gaussian...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html -
GMM Initialization Methods — scikit-learn 1.8.0...
bottom = 0.1 , top = 0.9 , hspace = 0.15 , wspace = 0.05 , left...cluster_std = 0.60 , random_state = 0 ) X = X [:, :: - 1 ] n_samples...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html -
Sparse coding with a precomputed dictionary — s...
subplots_adjust ( 0.04 , 0.07 , 0.97 , 0.90 , 0.09 , 0.2 ) plt . show...reshape ( 1 , - 1 )) _ , idx = ( x != 0 ) . nonzero () x [ 0 , idx...scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html -
Inductive Clustering — scikit-learn 1.8.0 docum...
= [ 1.0 , 1.0 , 0.5 ], centers = [( - 5 , - 5 ), ( 0 , 0 ), (...alpha = 0.5 ): return plt . scatter ( X [:, 0 ], X [:, 1 ], c =...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
Blind source separation using FastICA — scikit-...
1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]]) # Mixing matrix...seed ( 0 ) n_samples = 2000 time = np . linspace ( 0 , 8 , n_samples...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
Comparing random forests and the multi-output m...
RandomState ( 1 ) X = np . sort ( 200 * rng . rand ( 600 , 1 ) - 100 , axis...50 a = 0.4 plt . scatter ( y_test [:, 0 ], y_test [:, 1 ], edgecolor...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
Cross decomposition — scikit-learn 1.8.0 docume...
Examples concerning the sklearn.cross_decomposition module. Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regressionscikit-learn.org/stable/auto_examples/cross_decomposition/index.html -
colors.css
--sk-cyan-tint-1: #4bb4e5; --sk-cyan: #29abe2; --sk-cyan-shades-1: #2294c4;...--sk-cyan-shades-4: #0f5471; --sk-cyan-shades-5: #094057; --sk-cyan-shades-6:...scikit-learn.org/stable/_static/styles/colors.css