Cluster Analysis (page 5 of 6)

The DBSCAN clustering algorithm finds clusters based on the spatial density of points. The distinction between this algorithm and the kmeans algorithm is that we do NOT have to specify the number of clusters a priori. The DBSCAN algorithm also factors in noise (outliers).



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