k nearest neighbor classifier in machine learning. Contribute to YHbibi/KNN-algorithm-in-Python development by creating an account on GitHub. ... Prepare the data for use in the KNN algorithm by ...

**In this study, we implemented and evaluated the K-Nearest Neighbors (KNN) algorithm from scratch, applying it to three distinct datasets: Breast Cancer, Car Evaluation, and Hayes-Roth, sourced from ...

A powerful machine learning detector based on the k-nearest neighbors (KNN) algorithm is proposed to overcome system impairments. The zero-dispersion link (ZDL), dispersion managed link (DML), and ...

In response to this challenge, solutions such as using artificial intelligence, specifically Machine Learning, have been proposed for monitoring exercise activities within the household environment.