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Machine Learning with Spark - Second Edition
book

Machine Learning with Spark - Second Edition

by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
April 2017
Intermediate to advanced
532 pages
12h 39m
English
Packt Publishing
Content preview from Machine Learning with Spark - Second Edition

k-means clustering

k-means attempts to partition a set of data points into K distinct clusters (where K is an input parameter for the model).

More formally, k-means tries to find clusters so as to minimize the sum of squared errors (or distances) within each cluster. This objective function is known as the within cluster sum of squared errors (WCSS).

It is the sum, over each cluster, of the squared errors between each point and the cluster center.

Starting with a set of K initial cluster centers (which are computed as the mean vector for all data points in the cluster), the standard method for K-means iterates between two steps:

  1. Assign each ...
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Publisher Resources

ISBN: 9781785889936