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Description for Data Analysis
Hardback. 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. Editor(s): Govaert, Gerard. Series: ISTE. Num Pages: 352 pages, Illustrations. BIC Classification: GPH. Category: (P) Professional & Vocational. Dimension: 241 x 164 x 23. Weight in Grams: 640.
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.
Product Details
Format
Hardback
Publication date
2009
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
352
Condition
New
Series
ISTE
Number of Pages
352
Place of Publication
London, United Kingdom
ISBN
9781848210981
SKU
V9781848210981
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Grard Govaert
Gérard Govaert is Professor at the University of Technology of Compiègne, France. He is also a member of the CNRS Laboratory Heudiasyc (Heuristic and diagnostic of complex systems). His research interests include latent structure modeling, model selection, model-based cluster analysis, block clustering and statistical pattern recognition. He is one of the authors of the MIXMOD (MIXture MODelling) software.
Reviews for Data Analysis
"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 another method, often complementary to the methods described in the ... Read more