title: Best way to validate DBSCAN Clusters
body: <p>I have used the ELKI implementation of DBSCAN to identify fire hot spot clusters from a fire data set and the results look quite good. The data set is spatial and the clusters are based on latitude, longitude. Basically, the DBSCAN parameters identify hot spot regions where there is a high concentration of fire points (defined by density). These are the fire hot spot regions.</p>
  
  <p>My question is, after experimenting with several different parameters and finding a pair that gives a reasonable clustering result, <strong>how does one validate the clusters</strong>?</p>
  
  <p>Is there a suitable formal validation method for my use case? Or is this subjective depending on the application domain?</p>