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, ...

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.

Good morning, and thank you for joining us today to discuss Starbucks first quarter fiscal year 2026 results. Today's discussion will be led by Brian R. Niccol, Chairman and Chief Executive Officer, ...

On today's call, we have Kevin Hourican, our Chair of the Board and Chief Executive Officer; and Kenny Cheung, our Chief ...