Clustering with DBSCAN
DBSCAN is a density-based clustering algorithm fo…
November 20, 201716m 14s
Audio is streamed directly from the publisher (feeds.soundcloud.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
DBSCAN is a density-based clustering algorithm for doing unsupervised learning. It's pretty nifty: with just two parameters, you can specify "dense" regions in your data, and grow those regions out organically to find clusters. In particular, it can fit irregularly-shaped clusters, and it can also identify outlier points that don't belong to any of the clusters. Pretty cool!
Topics
datasciencemachinelearninglineardigressions