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[No. 57] Does AI decide by looking at nearby peers? What is the k-Nearest Neighbors algorithm?

In the previous session on logistic regression, we learned how to "draw a boundary line to separate white from black." However, there is a more intuitive way for AI to make decisions: "looking at the ...
The New York Times

‘Your Friends & Neighbors’ Wants to Have Its Porsche and Judge It Too

“We are skewering a value system,” the creator Jonathan Tropper said of the series. “But at the same time, we’re making the show aspirational.” By Austin Considine This interview contains spoilers for ...
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 ...
IEEE

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

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on diagnostic ...
GitHub

FPGA-Based Hardware Accelerator for K-Nearest Neighbors (KNN)

This repository contains the implementation of a hardware-accelerated K-Nearest Neighbors (KNN) algorithm using Verilog on an FPGA. The project includes performance and timing analysis using Quartus, ...
IEEE

Applying the K Nearest Neighbor algorithm (KNN) in a microwave filter

Abstract: this study introduces a novel approach employing the K-nearest neighbor (KNN) algorithm for designing a planar microwave filter. It explores the application of supervised machine learning ...