Welcome, and thank you for joining Unisys for our 2026 Investor Day. We're broadcasting live today from our headquarters in Blue Bell, Pennsylvania, where our leadership team is gathered together and ...

John Authers is a senior editor for markets and Bloomberg Opinion columnist. A former chief markets commentator at the Financial Times, he is author of “The Fearful Rise of Markets.” ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

Abstract: For radar signal sorting based on pulse descriptors, the inherent limitations of the traditional K-means algorithm include the requirement of a predefined number of clusters, the sensitivity ...

Dr. Berg teaches philosophy at the University of California, Irvine. See more of our coverage in your search results.Encuentra más de nuestra cobertura en los resultados de búsqueda. Add The New York ...

As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...

Abstract: The k-means algorithm is one of the most popular Machine learning clustering algorithms. This paper introduces a parallel k-means algorithm implementation for digit classification on ...

This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each ...