A Simple k-nearest neighbors implementation in C++
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Updated
Feb 26, 2017 - C++
A Simple k-nearest neighbors implementation in C++
An example of multiple kernel in C++ for SDAccel, compiled by Makefile
South African Coin Recognition System using multiple feature extraction techniques and classifiers
CS480F at Binghamton University with Dr. Ken Chiu
Database Management Systems course projects
Database Management Systems course projects
Parallel k-nearest neighbor algorithm using c++ threads
Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.
This repository contains a collection of machine learning and deep learning algorithms I implemented from scratch using Python and C++.
K Nearest Neighbours Implemented in C++
Simple KNN implementation
N₂O - Approximate Nearest Neighbor Search Library (Hard fork of https://github.com/kakao/n2)
Implementation and survey of similarity search methods that rely on dimensionality reduction (e.g. LSH), D-dimensional vector clustering
Let's get those centroids!
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
A powerful and rapid data interpolator.
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