Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps to perform density-based clustering:

1. First, install and load the fpc and mlbench packages:

        > install.packages("mlbench")
        > library(mlbench)
        > install.packages("fpc")
        > library(fpc)  

2. You can then use the mlbench library to draw a Cassini problem graph:

        > set.seed(2)
        > p = mlbench.cassini(500)
        > plot(p$x)  

The Cassini problem graph

3. Next, you can cluster data with regard to its density measurement:

        > ds = dbscan(dist(p$x),0.2, 2, countmode=NULL, method="dist")
        > ds
        Output
        dbscan Pts=500 MinPts=2 eps=0.2
                1   2   3
        seed  200 200 100
        total 200 200 100 

4. Plot the data in a scatter plot with different ...