Fit Ridge and HuberRegressor on a dataset with outliers. The example shows that the predictions in ridge are strongly influenced

Modeling species? geographic distributions is an important problem in conservation biology. In this example we model the geographic distribution of two south american

Both kernel ridge regression (KRR) and Gaussian process regression (GPR) learn a target function by employing internally the ?kernel

In this example we compare the various initialization strategies for K-means in terms of runtime and quality of the results.

This example illustrates the differences between univariate F-test statistics and mutual information. We consider 3 features x_1, x_2, x_3

An example to show covariance estimation with the Mahalanobis distances on Gaussian distributed data. For Gaussian distributed

When working with covariance estimation, the usual approach is to use a maximum likelihood estimator, such as the

This example uses the

When the amount of contamination is known, this example illustrates three different ways of performing

A tutorial exercise regarding the use of classification techniques on the Digits dataset. This exercise is used in the