Characterizing upper ocean variability near Ibiza and Formentera: A comparative analysis of clustering techniques

This study applies cluster analysis techniques to temporal snapshots of oceanic variables—kinetic energy and sea surface temperature—with the primary aim of evaluating different clustering methods: Self-Organizing Maps (SOM), K-Means, and InfoMap. By applying these algorithms, we identify meaningful structures within the data, facilitating an analysis of the methodologies. The inclusion of InfoMap, a network-based clustering approach, provides a unique perspective on the hierarchical community organization within oceanic data. 

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https://us02web.zoom.us/j/81573746126?pwd=tUIo6aP7GpLX9OAbrR8cSl2u2JbbbR.1