ABSTRACT
In this chapter, we give a review of data clustering. First, we describe what data clustering is, the difference between clustering and classification, and the notion of clusters. Second, we introduce types of data and some similarity and dissimilarity measures. Third, we introduce several popular hierarchical and partitional clustering algorithms. Then, we discuss cluster validity and applications of data clustering in various areas. Finally, we present some books and review papers related to data clustering.
