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: The rapid development of intelligent transportation systems has led to the generation of massive vehicular data from onboard sensors, GPS devices, and driving logs, paving the way for ...
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