Given a small number of observations, we want to recover which features of X are relevant to explain y. For this

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

The

An example comparing the effect of reconstructing noisy fragments of a raccoon face image using firstly online

This example uses

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

This example demonstrates the behaviour of the accuracy of the nearest neighbor queries of Locality Sensitive Hashing Forest as the number

This example is meant to illustrate situations where k-means will produce unintuitive and possibly unexpected clusters. In the first three plots, the input

In this plot you can see the training scores and validation scores of an SVM for different values of the kernel parameter gamma. For very low values of gamma, you

The following plots demonstrate the impact of the number of clusters and number of samples on various clustering performance evaluation