The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it i

This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval,

At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topic

Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Whi