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apache-maven-fluido-1.3.0.min.css
1);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.1);box-shadow:0...r-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);border-color:#e6e6e6...dbflute.seasar.org/maven/plugin/ja/css/apache-maven-fluido-1.3.0.min.css -
Segmenting the picture of greek coins in region...
1.73s Spectral clustering: discretize, 1.60s Spectral...the # actual image. For beta=1, the segmentation is close to...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
load_digits — scikit-learn 1.7.2 documentation
scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Label Propagation...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html -
Demo of OPTICS clustering algorithm — scikit-le...
subplot ( G [ 1 , 0 ]) ax3 = plt . subplot ( G [ 1 , 1 ]) ax4 = plt...labels_ == - 1 , 0 ], X [ clust . labels_ == - 1 , 1 ], "k+" , alpha...scikit-learn.org/stable/auto_examples/cluster/plot_optics.html -
Tweedie regression on insurance claims — scikit...
tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914574e+03 1.914370e+03 1.914537e+03 1.914388e+03...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
2. Unsupervised learning — scikit-learn 1.7.2 d...
1. Gaussian mixture models 2.1.1. Gaussian Mixture 2.1.2....Mixture 2.2. Manifold learning 2.2.1. Introduction 2.2.2. Isomap 2.2.3....scikit-learn.org/stable/unsupervised_learning.html -
Demonstrating the different strategies of KBins...
]]) centers_1 = np . array ([[ 0 , 0 ], [ 3 , 1 ]]) # construct...strategies ) + 1 , i ) ax . scatter ( X [:, 0 ], X [:, 1 ], edgecolors...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
ClassNamePrefixFeaturesOutMixin — scikit-learn ...
shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
Visualizing the stock market structure — scikit...
index ] = 1 dy = y - embedding [ 1 ] dy [ index ] = 1 this_dx =...alphas = np . logspace ( - 1.5 , 1 , num = 10 ) edge_model = covariance...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
Agglomerative clustering with and without struc...
) t = 1.5 * np . pi * ( 1 + 3 * np . random . rand ( 1 , n_samples..."single" )): plt . subplot ( 1 , 4 , index + 1 ) model = AgglomerativeCluster...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html