sklearn.neighbors (original) (raw)
The k-nearest neighbors algorithms.
| 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. |