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

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathemat

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

Advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techn

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