About This Chapter

In this chapter we pick up from where classification left off and delve a little bit deeper into the world of grouping data objects. Cluster analysis aims to group data objects based on the information that is available that describes the objects and their relationships. This chapter is first introduces the concept of cluster analysis and its applications in the real world and then it explores some of the popular clustering techniques such as the k-means clustering algorithm and agglomerative hierarchical clustering.