This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...

Scientists in Iraq used a k-Nearest Neighbors algorithm to evaluate the operational status of PV modules under various conditions, including partial shading, open circuit, and short circuit ...

This study implements the K-Nearest Neighbors (K-NN) algorithm for classification tasks using the Python programming language in both serial and parallel modes.

The k-nearest neighbors (k-NN) algorithm is a technique for machine learning classification. The k-NN technique can be used for binary classification (predict where there are exactly two possible ...