June 2016
Beginner to intermediate
398 pages
8h 51m
English
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The EM algorithm by example of k-means clustering
Probably the most famous algorithm for clustering observations to groups is the k-means algorithm. We will see that this algorithm is just a variant of the EM algorithm.
Given n objects, characterized by p variables, we like to partition them into 
clusters 
such that cluster 
has 
members and each observation ...
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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.