TiMBL implements several memory-based learning algorithms.

Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.

N₂O - Approximate Nearest Neighbor Search Library (Hard fork of https://github.com/kakao/n2)

Parallel k-nearest neighbor algorithm using c++ threads

A Simple k-nearest neighbors implementation in C++

Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.

Database Management Systems course projects

CS480F at Binghamton University with Dr. Ken Chiu

A powerful and rapid data interpolator.

K Nearest Neighbours Implemented in C++

Database Management Systems course projects

Implementation of clustering algorithms and optimizations in C++. Benchmarked on the MNIST handwritten digit dataset

South African Coin Recognition System using multiple feature extraction techniques and classifiers

Simple KNN implementation

Implementation and survey of similarity search methods that rely on dimensionality reduction (e.g. LSH), D-dimensional vector clustering

A university project implementing Vamana-Indexing-Algorithm (VIA) for Approximate-Nearest-Neighbors (ANN) problem.

An example of multiple kernel in C++ for SDAccel, compiled by Makefile