Absolute balanced kdtree for fast kNN search.

Face recognition using facenet

A desktop program based on pyside2 is implemented, which uses yolov5 and KNN algorithm to detect falls.实现了一个基于pyside2的桌面程序, 使用yolov5以及KNN算法进行跌倒检测.

An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.

Rewrite some basic machine learning algorithms in C language

The Similarity Search Tree is an efficient method for indexing high dimensional feature vectors. The main objective of this data structure is to obtain the nearest neighbors given a certain query vector in a reasonable amount of time. In this project, the k-NN algorithm was adapted for supporting image retrieval.

C implementation of a K-Nearest Neighbour algorithm

Classified and clustered bank clients with respect to their user profile and decided if they should get credit. KNN & KMeans algorithms, K-Fold developed in C without libraries.

KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.

Parallel implementation of K-nearest neighbors algorithm using openMP.

基于C的KNN算法实现

This is a machine learning assignment that implements the K-Nearest Neighbors (KNN) algorithm on the Iris dataset from scratch using pure C

This repository features three mini-projects that introduce key machine learning concepts using C. Explore K-Nearest Neighbors for classification, K-Means for clustering, and Q-Learning for a Tic Tac Toe AI. Perfect for beginners looking to practice ML while enhancing their C programming skills.

Image classification using MATLAB and VLFeat toolkit

Miniprojet - algorithmique & programmation c

Algos de machine learning

Algorithms for the 'all m-th nearest neighbours problem' in a multi-dimensional space. The library supports entropy estimation with the so called 'kNN' method.

Knn implementation in C