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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Initialization methods
The standard initialization method for k-means, usually simply referred to as the random method, starts by randomly assigning each data point to a cluster before proceeding with the first update step.
Spark ML provides a parallel variant for this initialization method, called K-means ++, which is the default initialization method used.
See http://en.wikipedia.org/wiki/K-means_clustering#Initialization_methods and http://en.wikipedia.org/wiki/K-means%2B%2B for more information.
The results of using K-means++ are shown here. Note that this time, the difficult lower-right points have been mostly correctly clustered:
Final ...
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