Scientific Research Publishing

Larose, D.T. and Larose, C.D. (2014) k-Nearest Neighbor Algorithm.

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...
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 ...
The New York Times

Who Wins When Neighbors Fight?

A co-op board may need to investigate so that it can protect every resident’s rights. By Jill Terreri Ramos Q: We have a problem in my Queens co-op: Two residents have developed a hostile relationship ...
IEEE

K-Nearest Neighbor Algorithm Method for Phased Array Calibration

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 ...
Frontiers

Network intrusion detection based on relative mutual K-nearest neighbor density peak clustering

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 ...
Scientific Research Publishing

De Silva, H. and Perera, A.S. (2017) Evolutionary K-Nearest Neighbor Imputation Algorithm for Gene Expression Data. International Journal on Advances in ICT for Emerging ...

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 ...