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, ...

Kendrick Lamar leads the 2026 Grammys nominee pack, but Lady Gaga, Bad Bunny and others are vying for their moment in the spotlight. But who will take home trophies on ...

Abstract: This paper presents a new method that combines deep k-means clustering with granule mining approaches to utilise contextual information for improving outlier detection and classification.