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

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

This shows an example of a neighbors-based query (in particular a kernel density estimate) on geospatial data, using a Ball Tree built upon

This example uses the

This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset

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

Demonstrate the resolution of a regression problem using a k-Nearest Neighbor and the interpolation of the target using both barycenter and constant weights.

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