The k-nearest neighbors (KNN) algorithm can be used to classify animals based on their characteristics or features. Here's how it works: Prepare the data for use in the KNN algorithm by converting it ...

**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 ...

The proposed solution for diagnosing chronic kidney disease uses a Machine learning methodology i.e., KNN algorithm which was utilized to fill in the missing qualities. Missing qualities are generally ...