Machine Learning with R Cookbook - Second Edition

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Besides using dissplot to visualize the dissimilarity matrix, one can also visualize a distance matrix by using the dist and image functions. In the resulting graph, closely related entries are plotted in red. Less related entries are plotted closer to white:

> image(as.matrix(dist(customer)))  

A distance matrix plot of customer dataset

In order to plot both a dendrogram and heat map to show how data is clustered, you can use the heatmap function:

> cd=dist(customer)
> hc=hclust(cd)
> cdt=dist(t(customer))
> hcc=hclust(cdt)
> heatmap(customer, Rowv=as.dendrogram(hc), Colv=as.dendrogram(hcc))

A heat map with dendrogram on the ...