This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

An efficient Nearest Neighbor Classifier for the MINST dataset. It uses a VP Tree data structure for preprocessing, thus improving query time complexity

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

Scalable large-margin distance metric learning using stochastic gradient descent

Vantage point trees

Nearest Neighbour Search with Variables on a Torus

Matlab implementation of the nearest neighbour model/algorithm applied on the wine uci-ml database

Two algorithms are implemented: the exhaustive algorithm and nearest neighbor algorithm

A small app for creating the optimal roundtrip between up to 11 places. Uses Nearest-Neighbour-Algorithm to find upper bound and 2-Opt to optimize route. Written in February 2017 for a Code Competition sponsored by Hermes.

This repository contains ML algorithms implementation in Python

Nearest neighbor algorithm using java programming language

Final Project for CS5800 Algorithms class