KNN Regressor From Scratch
Radius Neighbours Classifier With Outlier Fallback
Heap-Based KNN Classifier and Regressor
Vectorized KNN Classifier in NumPy
Parameterised Minkowski Distance for KNN
Hamming and Jaccard Distance KNN
Cosine-Distance KNN Classifier for Embeddings
Feature-Weighted Euclidean KNN Classifier
Gower Distance for Mixed-Type Features
Pairwise Distance Dispatcher with Top-k Neighbours
Voting Weighting Probabilities
KNN Class Probabilities with Laplace Smoothing
Distance-Weighted KNN Regression and Probabilities
Class-Balanced KNN Voting for Minority Recall
Efficient Neighbour Search
KD-Tree Exact K-Nearest-Neighbour Search
Memory-Bounded Chunked KNN Prediction
Ball Tree With Exact k-NN Queries
Random-Hyperplane LSH Index With Exact Re-Ranking
Feature Scaling Curse of Dimensionality
Scaled vs Unscaled KNN Pipeline
Noise Features vs KNN Accuracy
Relative Contrast Under Growing Dimensionality
NCA Metric Learning Before KNN
Pruning Model Selection Anomaly Detection
KNN Distance-Based Anomaly Detector
Condensed Nearest Neighbor Prototype Selection
Wilson's Edited Nearest Neighbour Noise Removal
Vectorized LOOCV for Choosing k