Java implementation of DBSCAN algorithm
2016-08-23
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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
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DBSCAN
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