Advances in Data Science and Classification

This is a guide to developments in classification and data analysis, presenting topics which are of central interest to modern statistics. It aims to offer a systematic introduction to the area of classification and data analysis and to transfer advances to a range of applications. The book provides new developments in classification and data analysis, and presents new topics which are of central interest to modern statistics. In particular, these include classification theory, multivariate data analysis, multi-way data, proximity structure analysis, new software for classification and data analysis, and applications in social, economic, medical and other sciences. For many of these topics, this book provides a systematic state of the art written by top researchers in the world. This book will serve as a helpful introduction to the area of classification and data analysis for research workers and support the transfer of new advances in data science and classification to a wide range of applications.