Clustering: A Guide for the Perplexed

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PyData DC 2016,Finding clusters is a powerful tool for understanding and exploring data. While the task sounds easy, it can be surprisingly difficult to do it well. Most standard clustering algorithms can, and do, provide very poor clustering results in many cases. We discuss how to do clustering correctly.,Finding clusters is a powerful tool for understanding and exploring data. While the task sounds easy, it can be surprisingly difficult to it well. Most standard clustering algorithms can, and do, provide

PyData DC 2016

PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as we...