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.
Gérard Govaert
Computer Science Data Mining Data Mining Statistics Database & Data Warehousing Technologies Datenbanken u. Data Warehousing Electrical & Electronics Engineering Elektrotechnik u. Elektronik Informatik Numerical Methods & Algorithms Numerische Methoden u. Algorithmen Statistics Statistik
"The first part of this book is devoted to methods seeking relevantdimensions 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 anothermethod, often complementary to the methods described in the first part, to synthesize and to analyze the data." (Zentralblatt MATH 2016)The rst part of this book is devoted to methods seeking relevantdimensions of data. The variables thus obtained provide a synthetic description which oftenresults in a graphical representation of the data. After a general presentation of the discrim-inating analysis, the second part is devoted to clustering methods which constitute anothermethod, often complementary to the methods described in the rst part, to synthesize and toanalyze the data.
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