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 ...
IEEE

Genetic K-Means: An Algorithm to Elicitate Missing Values in K-Means Clustering

Abstract: Missing data is a challenge in clustering problems, often compromising the accuracy and interpretability of results. Traditional imputation techniques can distort the underlying data ...
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 ...
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

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 ...