Leif M. Swenson, Richard Grotjahn, Using Self-Organizing Maps to Identify Coherent CONUS Precipitation Regions, Journal of Climate, Vol. 32, No. 22 (15 NOVEMBER 2019), pp. 7747-7761 ...

Self organizing maps (SOM), a machine learning method, enables the parallel sample- and gene-centered view on the data combined with strong visualization and second-level analysis capabilities.

Chantelle Y Janse van Vuuren, Hendrik J Vermeulen, Matthew Groch, A statistical Time-Of-Use tariff based wind resource clustering approach using Self-Organizing Maps, Wind Engineering, Vol. 45, No. 4, ...

This study investigates spatial and temporal patterns of Indian summer monsoon rainfall (June–September) and their relationship to low pressure system (LPS) tracks, with a focus on identifying and ...