Abstract: Time series forecasting (TSF) is a prominent chal-lenge in data analytics, relevant to both scientific research and real-world industrial applications. The rapid increase in high-dimensional ...

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, ...