IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
moneywise

CA homeowner stuck with $50K bill after neighbor's tree crashes into her house. Insurer denies claim, argues it was ‘unforeseeable.’ Is that legit?

According to a third-party estimate cited by ABC 7 On Your Side, the total damage to Bereola’s roof was worth $70,600.83. That estimate did not include any damages that occurred while removing the ...
Visual Studio Magazine

Implementing k-Nearest Neighbors Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
GitHub

Parallel K-Nearest Neighbors Implementation

Each implementation is optimized for its respective computing paradigm while maintaining classification accuracy.
GitHub

knearest-neighbor-algorithm

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) ...