# Spatial Clustering Algorithm

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## Density-based Spatial Clustering of Applications with Noise (NBSCAN)

The basic idea for DBSCAN is that for each point of a cluster the neighborhood of a given radius ($\varepsilon$$) has to contain at least a minimum number of points ($MinPts$$) where $\varepsilon$$and $MinPts$$ are input parameters.