The first part of this book is devoted to methods seeking relevant
dimensions of data. The variables thus obtained provide a synthetic
description which often results in a graphical representation of
the data. After a general presentation of the discriminating
analysis, the second part is devoted to clustering methods which
constitute another method, often complementary to the methods
described in the first part, to synthesize and to analyze the data.
The book concludes by examining the links existing between data
mining and data analysis.
General
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