Learn about multivariate methods and their insightful graphical data summaries. Discover popular and others less known, some classical as well as more recent ones with focus on real-life applications.
Learn how to take data (consumers, genes, stores, ...) and organise them into homogeneous groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks. Cluster analysis comprises a collection of powerful techniques. Learn about this very active field of research in statistics and data mining, and discover new techniques.