This is a Python implementation of K-Means clustering algorithm using the Map Reduce paradigm. It is customized for processing a thunders dataset, extracted from STARNET (Sferics Timing And Ranging NETwork)

Under data/ folder is a sample of the thunders that "falled" on February 28, 2014.

Under results/ folder are CSV datasets containing all thunders of that date in a single file and the resulting clusters (for k=10 and k=50).