A simple graphical frontend for Libsvm mainly intended for didactic purposes. You can create data points by point and click and visualize the decision region induced by different

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

Find the optimal separating hyperplane using an SVC for classes that are unbalanced. We first find the separating plane with a plain

This example studies the scalability profile of approximate 10-neighbors queries using the LSHForest with n_estimators=20 and

This example demonstrates the behavior of Gaussian mixture models fit on data that was not sampled from a mixture of Gaussian random variables. The dataset

Incremental principal component analysis (IPCA) is typically used as a replacement for principal component analysis (PCA) when the dataset to be decomposed is too large to fit

An example using a one-class SVM for novelty detection.

Demonstrates an active learning technique to learn handwritten digits using label propagation. We start by training a label propagation model

Computes Lasso Path along the regularization parameter using the LARS algorithm on the diabetes dataset. Each color represents a different feature of the coefficient vector

Using orthogonal matching pursuit for recovering a sparse signal from a noisy measurement encoded with a dictionary print(__doc__)