Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
Morningstar

Why a ‘K-Shaped’ Economy Means More Risk for Stock Investors

The US economy is looking increasingly bifurcated—a phenomenon analysts describe as a “K shape.” Higher-income households have seen their wealth and confidence surge thanks to strong stock market ...
Mashable

TikTok deal adds new U.S. owners. Here's what this means for users.

TikTok will officially remain in the U.S. for the foreseeable future. A new, majority U.S.-owned company had been established to continue running the popular video-sharing app in the country, and has ...
Frontiers

K-means classification of long-term global vegetation index variation

Recent global warming has driven substantial changes in terrestrial vegetation, yet long-term global patterns remain insufficiently characterized. The Normalized Difference Vegetation Index (NDVI) ...
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, implemented with JavaScript. Compared to other anomaly detection techniques, ...
CNN

A new rule means some 401(k) contributions will no longer be tax-deferred. Here’s who will be affected

A new rule is going into effect next year that will affect high earners who make “catch-up contributions” in their 401(k)s or other tax-deferred workplace retirement plans. The rule, which was created ...
IEEE

Clustering Analysis of Electric Vehicle Charging Behavior Based on the Improved Quantum K-Means Algorithm

Abstract: With the rapid rise of the electric vehicle market and its increasingly significant role in power systems, the clustering analysis of high-dimensional electric vehicle charging data has ...
IEEE

K-means Clustering Solution for Image Compression

Abstract: The paper presents a detailed research study of the k-means clustering algorithm to be used for image compression tasks, where the RGB values of the colors are considered XYZ coordinates of ...
Scientific Research Publishing

GeeksforGeeks (2023) K-Means Clustering Using PySpark Python.

ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...
GitHub

k-means-clustering

This project consists in the implementation of the K-Means and Mini-Batch K-Means clustering algorithms. This is not to be considered as the final and most efficient algorithm implementation as the ...