* examples/covariance/plot_outlier_detection.py - matplotlib2.0 update * examples/cluster/plot_kmeans_silhouette_analysis.py - matplotlib2.0 update * examples/cluster/plot_birch_vs_minibatchkmeans.py - matplotlib2.0 + pep8 fix * examples/cluster/plot_cluster_iris.py - matplotlib2.0 update * examples/cluster/plot_agglomerative_clustering.py - matplotlib2.0 update * examples/cluster/plot_ward_structured_vs_unstructured.py - matplotlib2.0 update * examples/cluster/plot_kmeans_assumptions.py - matplotlib2.0 update * examples/classification/plot_lda_qda.py - matplotlib2.0 + pep8 fix * examples/calibration/plot_calibration.py - matplotlib2.0 update * examples/plot_johnson_lindenstrauss_bound.py - matplotlib2.0 update * flake8 changes * reversing changes for plot_kmeans_assumptions & plot_agglomerative_clustering * cluster/plot_cluster_iris.py - major fixes * examples/cluster/plot_cluster_iris.py - flake8 fix * examples/cluster/plot_cluster_iris.py - 3d projection error fix * cluster/plot_cluster_iris.py - elevation and azimuth setting |
||
|---|---|---|
| .. | ||
| README.txt | ||
| plot_classification_probability.py | ||
| plot_classifier_comparison.py | ||
| plot_digits_classification.py | ||
| plot_lda.py | ||
| plot_lda_qda.py | ||
README.txt
.. _classification_examples: Classification ----------------------- General examples about classification algorithms.