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

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

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

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

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing