Skip to Content
Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Cluster plots

We can also plot the assigned clusters with the original data, to see if there are any problems with cluster assignment.

First, we need to append the cluster assignment to the original dataset:

#append the clusters the original data 
append.clust <- data.frame(x, clusters3,clusters5,clusters7) 

For illustration purposes, let's sample from the append.clust dataset. We will set the sample size to 100, but you can set it to any number that makes the diagram readable:

library(cluster)
set.seed(1020)
sampleit <- append.clust[sample(nrow(append.clust), 100), ]
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Superstream: Analytics Engineering

Data Superstream: Analytics Engineering

Alistair Croll, Anna Filippova, Emilie Schario, Lewis Davies, Jacob Frackson, Benn Stancil, Nick Acosta, Elizabeth Caley
R: Predictive Analysis

R: Predictive Analysis

Tony Fischetti, Eric Mayor, Rui Miguel Forte
Python: Advanced Predictive Analytics

Python: Advanced Predictive Analytics

Ashish Kumar, Joseph Babcock

Publisher Resources

ISBN: 9781785886188Supplemental Content