I am using DBSCAN for clustering. However, now I want to pick a point from each cluster that represents it, but I realized that DBSCAN does not have centroids as in kmeans. However, I observed that DBSCAN has something called core points. I am thinking if it is possible to use these core points or any other alternative to obtain
Tag: dbscan
Python: DBSCAN in 3 dimensional space
I have been searching around for an implementation of DBSCAN for 3 dimensional points without much luck. Does anyone know I library that handles this or has any experience with doing this? I am assuming that the DBSCAN algorithm can handle 3 dimensions, by having the e value be a radius metric and the distance between points measured by euclidean