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What is Clustering Methods for Geo-Referenced Time Series about?

This article provides a comprehensive overview of clustering methods for geo-referenced time series (GTS), categorizing them into one-way clustering, co-clustering, and tri-clustering. It highlights the challenges in selecting appropriate methods based on data type, research questions, and computational complexity. The study aims to facilitate the exploration of complex spatio-temporal patterns by offering a systematic classification and comparison of existing clustering techniques.

Author

arwam539

Language

EN