sklearn.neighbors

The k-nearest neighbors algorithms.

User guide. See the Nearest Neighbors section for further details.

BallTree	BallTree for fast generalized N-point problems
KDTree	KDTree for fast generalized N-point problems
KNeighborsClassifier	Classifier implementing the k-nearest neighbors vote.
KNeighborsRegressor	Regression based on k-nearest neighbors.
KNeighborsTransformer	Transform X into a (weighted) graph of k nearest neighbors.
KernelDensity	Kernel Density Estimation.
LocalOutlierFactor	Unsupervised Outlier Detection using the Local Outlier Factor (LOF).
NearestCentroid	Nearest centroid classifier.
NearestNeighbors	Unsupervised learner for implementing neighbor searches.
NeighborhoodComponentsAnalysis	Neighborhood Components Analysis.
RadiusNeighborsClassifier	Classifier implementing a vote among neighbors within a given radius.
RadiusNeighborsRegressor	Regression based on neighbors within a fixed radius.
RadiusNeighborsTransformer	Transform X into a (weighted) graph of neighbors nearer than a radius.
kneighbors_graph	Compute the (weighted) graph of k-Neighbors for points in X.
radius_neighbors_graph	Compute the (weighted) graph of Neighbors for points in X.
sort_graph_by_row_values	Sort a sparse graph such that each row is stored with increasing values.