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 ...

Abstract: This paper proposes a calibration method for phased array antenna which is based on KNN(K-Nearest Neighbor) algorithm. This method has the characteristics of the REV(rotation element ...

1 Yibin University, School of Computer Science and Technology, Yibin, China 2 Southwest Petroleum University, School of Computer and Software, Chengdu, China Network security is the core guarantee for ...

ABSTRACT: Elderly individuals undergoing long-term neuroleptic therapy are increasingly vulnerable to cognitive decline, a condition that significantly impairs quality of life and increases healthcare ...

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) ...

Abstract: In order to reduce the influence of too many human factors in the clustering process, a Non-classical K-nearest Neighbor fast Clustering Algorithm is proposed. The K nearest neighbor points ...

Malware analysis of files, detect the type of malware and check whether its a malware or not by using virus total.