IEEE

An Efficient Approach to Data Clustering Using the K-Means Algorithm in Big Data Analytics

Abstract: The large-scale, high-dimensionality of datasets poses major obstacles to effective and precise data clustering in the field of big data analytics. This work focuses on a well-known ...
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, ...
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, ...
Seeking Alpha

CAVA Has A K-Shaped-Economy Problem

CAVA Group, Inc. is rated Hold, as shares trade near fair value after a 71% drop from all-time highs and recent weak earnings. CAVA faces macro headwinds, with softening traffic, rising costs, and ...