Podknife - Clustering with DBSCAN by Linear Digressions

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Clustering with DBSCAN

Podcast |: Linear Digressions
Publisher |: Ben Jaffe and Katie Malone
Media Type |: audio
Podknife tags |: Data Science,; Machine Learning,; Technology
Categories Via RSS |: Technology
Publication Date |: Nov 20, 2017
Episode Duration |: 00:16:14

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!

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