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, ...
eLife

Multi-barrier unfolding of the double-knotted protein, TrmD–Tm1570, revealed by single-molecule force spectroscopy and molecular dynamics

This study investigates the folding and unfolding behavior of the doubly knotted protein TrmD-Tm1570, providing insight into the molecular mechanisms underlying protein knotting. The findings reveal ...
IEEE

K-Means++ Clustering-Based Approach for SDN Controller Placement in LEO Satellite Networks

Abstract: Software-Defined Networking (SDN) offers a solution for the efficient management of Low Earth Orbit (LEO) satellite networks through centralized control and programmability. However, the ...