Combinatorial Clustering of Coastal Contaminant Data an Extended Abstract

This empirical study demonstrate the effectiveness of correlation clustering that allows overlapping via graph-theoretic algorithms to cluster data collected by multiple monitoring & assessment stations of the US National Oceanographic and Atmospheric Administration (NOAA) to characterize polycyclic aromatic hydrocarbon mixtures in bivales.