R package providing fast nearest neighbour search (wraps ANN library)

Golang implementation of KD tree data structure

TiMBL implements several memory-based learning algorithms.

Bisector tree implementation in OCaml

C++ Vantage Point Tree implementation with Python bindings

Mutual nearest neighbor graphs for population structure inference and visualization 🐙

PathFinder - The best route is the shortest

C++ implementation for machine learning algorithm K-NN

"Near Me" search API for exposing your geocoded tabular data

Implementing various heuristics for Traveling Salesman Problem (TSP).

Build KD-Trees and perform Nearest Neighbor searches

A Python script to estimate the nearest neighbour distance and perform nearest neighbour Monte Carlo simulations

Python package providing nearest neighbor search (wraps ANN library)

As part of the UCSanDiego online course "Machine Learning Fundamentals"

Nearest Neighbour Search with Variables on a Torus

Implements 3 types of interpolation: bicubic, bilinear and nearest-neighbor on black-and-white and color images of different sizes.

Named after a charm in the Harry Potter Universe that allows the caster to summon an object, "accio" is a repo of Deep Learning and related codes for quick rolling and prototyping.

Iteratively declusters and replaces a randomised set of 2D points until a set is discovered where each point is separated by at least the specified minimum distance.

Clustering wikipedia dataset based with K-NN by TF-IDF

Using K Nearest Neighbours to predict target classes given a classified data set from a company! With hidden features column names.