April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Internal evaluation metrics
Common internal evaluation metrics include the WCSS we covered earlier (which is exactly the k-means objective function), the Davies-Bouldin Index, the Dunn Index, and the silhouette coefficient. All these measures tend to reward clusters where elements within a cluster are relatively close together, while elements in different clusters are relatively far away from each other.
The Wikipedia page on clustering evaluation at http://en.wikipedia.org/wiki/Cluster_analysis#Internal_evaluation has more details.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.