Determination of Optimal Epsilon (Eps) Value on DBSCAN Algorithm to Clustering Data on Peatland Hotspots in Sumatra
Nadia Rahmah, Imas Sukaesih Sitanggang · IOP Conference Series Earth and Environmental Science · 2016
In this work we determine the optimal epsilon value on peatland on DBSCAN Algorithm to clustering data on peatland hotspots in sumatera. DBSCAN is a base algorithm for density based data clustering which contain noise and outliers. We found using this method that the area which has the highest density of hotspots in Sumatra in 2013 peatland is contained in cluster 1 of Riau Province that is equal to 2112 hotspots.