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This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects.
Developed by Jean-Paul Benzerci, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. This work presents a theoretical overview of the mathematics and underlying algorithms of correspondence analysis and hierarchical clustering.
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