O'Reilly logo

R Data Analysis Cookbook by Shanthi Viswanathan, Viswa Viswanathan

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Performing cluster analysis using K-means clustering

The standard R package stats provides the function for K-means clustering. We also use the cluster package to plot the results of our cluster analysis.

Getting ready

If you have not already downloaded the files for this chapter, do it now and ensure that the auto-mpg.csv file is in your R working directory. Also, ensure that you have installed the cluster package.

How to do it...

To perform cluster analysis using K-means clustering, follow theses steps:

  1. Read the data:
    > auto <- read.csv("auto-mpg.csv")
  2. Define a convenience function to standardize the relevant variables and append the resulting variables to the original data:
    rdacb.scale.many <- function (dat, column_nos) { nms <- names(dat) for (col ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required