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You Are (Probably) Here: Better Map Pins with DBSCAN and Random Forests
- mcenedella 8y ago“the catch is that the distribution of check-in densities in the real world varies greatly as a function of venue shape and size, which in turn are a function of category or chain, and location. So, the check-ins at a suburban Target look very different from the check-ins at a bar in Manhattan. There is no single value of MinPts and Eps that would work globally.”
- kankroc 8y agoTo anyone reading this who wants to try DBSCAN, give its more recent brother HDBSCAN a go. The H stands for hierarchical and it's way better when dealing with clusters that aren't very similar (think big vs small). There's an excellent pip package that seamlessly integrates woth scikit-learn too!