In this chapter, we discovered clustering with the k-means algorithm family. We explored several distance measurements and learned how to scale data on a similar metric. We explored in detail the mechanism through which k-means creates clusters. We also examined how to select the best number of clusters and assessed the quality of clustering solutions. In the next chapter, we will explore hierarchical clustering using hclust().