In this chapter, we discussed cluster analysis, anomaly detection, and association rules. In cluster analysis, we use k-means clustering, k-medoids clustering, hierarchical clustering, expectation-maximization, and density estimation. In anomaly detection, we found outliers using built-in R functions and developed our own specialized R function. For association rules, we used the apriori package to determine the associations amongst datasets.
In the next chapter, we will cover data mining for sequences.