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Several clustering methods. Learn about their principle, conditions of use, data preparation phases, common pitfalls as well as good practices. Several real life applications are presented.

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.