PyData NYC 2018

HDBSCAN is a popular hierarchical density based clustering algorithm with an efficient python implementation. In this talk we show how it works, why it works and why it should be among the first algorithms you use when exploring a new data set. Further we will show how we took an inherently O(n^2) algorithm and turned it into the O(nlogn) algorithm that is available in scikit-learn-contrib.

Slides - [ Ссылка ]
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