In this chapter, we will cover the following topics:

• Clustering data with hierarchical clustering
• Cutting a tree into clusters
• Clustering data with the k-means method
• Drawing a bivariate cluster plot
• Comparing clustering methods
• Extracting silhouette information from clustering
• Obtaining optimum clusters for k-means
• Clustering data with the density-based method
• Clustering data with the model-based method
• Visualizing a dissimilarity matrix
• Validating clusters externally