Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...
IEEE

A Topological-Indicators-Based k-Means Clustering Algorithm and Its Application in Time Series Data: A Case Study on Sea Level Variability in Peninsular Malaysia

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
IEEE

Improved K-Means Algorithm for Nearby Target Localization

Abstract: In a multi-source localization system, direction of arrival (DOA) estimation of angles always suffers from errors due to noise interference, sensor position inaccuracies, and other factors.
NerdWallet

SIMPLE IRA vs. 401(k): The Pros and Cons of Each Plan

For simplicity, employers might prefer the SIMPLE IRA. For flexibility, a 401(k) plan provides a wider array of choices. Many, or all, of the products featured on this page are from our advertising ...
Forbes

OpenAI Could Be Blowing As Much As $15 Million Per Day On Silly Sora Videos

Some back-of-napkin math suggests OpenAI is spending more than a quarter of what it’s making to power its AI slop factory. For a company that’s burning more than twice what it’s earning, OpenAI is ...