Java implementation of DBSCAN algorithm & nbsp; DBSCAN is a clustering algorithm based on density. Its basic principle is to give two parameters, ξ and MINP, where ξ can be understood as radius, and the algorithm will find samples within this radius. MINP is a limiting condition of the number of samples n found with ξ as radius. As long as N & gt; = MINP, the sample point found is the core sample point