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, ...
C&EN

Nonequilibrium Acceleration and Time Forecasting of Cluster-Mediated Self-Assembly

School of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel The Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, ...
IEEE

Data-Adaptive Dynamic Time Warping-Based Multivariate Time Series Fuzzy Clustering

Abstract: Multivariate time series (MTS) clustering has become a critical research area. Current methods typically rely on space projection or representation learning for clustering but tend to ...