Clustering (Practical Machine Learning)

This talk was presented as part of a series organized by Aditya Somani. The talk introduces clustering by describing the pros and cons of DBSCAN, K-Means, and Gaussian Expectation-Maximization. The audience was composed primarily of software engineers and GIS experts. Thanks to Mark Gingrich, Lionel Gueguen, Scott High, and Chris Leibs for their comments on early drafts of the presentation.