Cluster analysis comprises a range of methods of classifying multivariate data into subgroups and these techniques are widely applicable. This updated edition incorporates material covering developing areas such as Bayesian statistics and neural networks. In addition, research on the evaluation of results and the assessment of the number of clusters has also been included. Real life examples are used throughout to demonstrate the application of the theory and graphical techniques are demonstrated with appropriate figures. Finally, this edition includes information on the software packages available.
Brian S. Everitt, Sabine Landau and Morven Leese are all at the Institute of Psychiatry, King's College London.