High Quality, High Performance Clustering with HDBSCAN

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Data clustering is a powerful tool for data analysis. It can be particularly useful in exploratory data analysis for helping to summarize and give intuition about a dataset. Despite it's power clustering is used for this task far less frequently than it could be. A plethora of options for clustering algorithms exist, and we will provide a survey of some of the more popular options, discussing their strengths and weaknesses, particularly with regard to exploratory data analysis. Our focus, however, is on a r

SciPy 2016

SciPy 2016, the 15th annual Scientific Computing with Python conference, will be held July 11-17, 2016 in Austin, Texas. The annual SciPy Conference brings together over 650 participants from indus...