This example compares the timing of Birch (with and without the global clustering step) and MiniBatchKMeans on a synthetic dataset having 100,000 samples and

Example of Precision-Recall metric to evaluate classifier output quality. In information retrieval, precision is a measure of result relevancy, while recall is a measure

This example illustrates the predicted probability of GPC for an isotropic and anisotropic RBF kernel on a two-dimensional version for the

Probabilistic PCA and Factor Analysis are probabilistic models. The consequence is that the likelihood of new data can be used

This example shows that model selection can be performed with Gaussian Mixture Models using information-theoretic criteria (BIC). Model selection concerns both

The plots below illustrate the effect the parameter C has on the separation line. A large value of C basically tells our model that we do not have

Reference: Brendan J. Frey and Delbert Dueck, ?Clustering by Passing Messages Between Data Points?, Science Feb. 2007

Sample usage of Nearest Centroid classification. It will plot the decision boundaries for each class.

Example builds a swiss roll dataset and runs hierarchical clustering on their position. For more information, see

This example aims at showing characteristics of different clustering algorithms on datasets that are ?interesting? but still in 2D