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What is Clustering Methods for South America Climate Analysis about?

This paper reviews clustering methods for climatology analysis in South America, focusing on the comparison of techniques such as K-means, Ward, and Self Organizing Maps. It highlights the lack of comprehensive studies applying these methods across the continent and aims to fill this gap by analyzing temperature and precipitation data from various sources. The findings are expected to enhance climate analysis and inform decision-making in sectors like agriculture and disaster management.

Author

diksha.mandal

Language

EN