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, ...
Frontiers

Glucose dysregulation and glycemic phenotyping in chronic migraine

Background: Emerging evidence suggests that a metabolic mismatch between cerebral energy demand and supply may be a contributing factor to the onset of migraine. Studies have drawn connections between ...
IEEE

Privacy-Preserving K-Means Clustering for Vehicular Driving Behavior Analysis

Abstract: The rapid development of intelligent transportation systems has led to the generation of massive vehicular data from onboard sensors, GPS devices, and driving logs, paving the way for ...
Reuters

Fed's Miran says he's looking for rate cut of 150 basis points this year

WASHINGTON, Jan 5 (Reuters) - Stephen Miran, a Federal Reserve governor whose term ends at the end of January, said Thursday that he is looking for 150 basis points of interest-rate cuts this year to ...