Classification Clustering and Data Analysis : Recent Advances and Applications This book deals with recent developments in classification and data analysis and presents new topics which are of central interest to modern statistics. In particular these include: classification models and clustering methods multivariate data analysis symbolic data neural networks and learning devices phylogeny and bioinformatics new software systems for classification and data analysis as well as applications in social economic biological medical and other sciences. The book presents a long list of useful methods for classification clustering and data analysis. By combining theoretical aspects with practical problems it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications