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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Bisecting KMeans
It is a variation of generic KMeans.
The steps of the algorithm are:
- Initialize by randomly selecting a point, say
then compute the centroid w of M and compute:
The centroid is the center of the cluster. A centroid is a vector containing one number for each variable, where each number is the mean of a variable for the observations in that cluster.
- Divide M =[x1, x2, ... xn] into two, sub-clusters ML and MR, according to the following rule:
...
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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.