October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How it works...
k-means clustering is a method of partitioning clustering. The goal of the algorithm is to partition n objects into k clusters, where each object belongs to the cluster with the nearest mean. The objective of the algorithm is to minimize the Within-cluster Sum of Squares (WCSS). Assuming x is the given set of observations, S = denotes k partitions, and is the mean of , then we can formulate the WCSS function as follows:
The process of k-means clustering can be illustrated by the following five steps:
- Specify the number of k clusters.
- Randomly create k partitions.
- Calculate the center of the partitions.
- Associate objects closest ...
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