Cluster analysis comprises a range of methods of classifying multivariate data into subgroups, and these techniques are widely applicable. The 4th edition of Cluster Analysis updates the successful 3rd edition and incorporates new material to cover developing areas, such as Bayesian statistics and neural networks. In addition, recent research on the evaluation of results and the assessment of the number of clusters has also been included. Real-life...