In what follows, we are going to learn more about partition clustering with k-means while exploring a dataset from the
cluster.datasets package. This package contains datasets that were published in the book, Clustering algorithms, by Hartigan (1975), with examples of analyses. So let's start by installing this dataset on your machine, and loading it.
We will first focus on getting to know the data, scaling the data to a common metric, and cluster interpretability. Our first exploration will concern the crime rates among different US cities in 1970. The dataset
all.us.city.crime.1970 affords ...