Legacy OpenCV Machine Learning Examples (2.4.x, C++)
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Updated
Mar 24, 2018 - C++
Legacy OpenCV Machine Learning Examples (2.4.x, C++)
A LibreOffice Calc extension that fills missing data using machine learning techniques
machine learning method implemention
This is a Distributed System and Parallel Computing Assignment Project which works on KNN about Diabetes Classification
This is a C++ implementation of the knn algorithm using MPI
Predict student grades through K-nearest algorithm in C++ by loading the dataset through file handling in C++ and then used Euclidean distance formula to calculate the distance and then make a prediction
Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques
Hardware-based implementation to identify license plate numbers and respond based on that
Validation model with iris data and k-NN classification
Simple KNN implementation
This repository contains console application for classifying input vectors using the KNN classification algorithm.
Parallel implementation of the KNN classifier with OpenMP and MPI
high performance computing project for implementing KNN using openMP and MPI
An AI-KNN algorithm system for classifying vectors, As part of the final project for Advanced Programming course, Bar-Ilan University.
Data Classification with kNN in C++11
knn classification with C++ TCP and multithreading programing
MNIST classication with KNN and NNs
RBT/ Binary Search Trees Sector Mapping
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