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Indlæser... Interactive and Dynamic Graphics for Data Analysis: With R and GGobiaf Dianne Cook, Deborah F. Swayne
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This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapter topics include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked low-dimensional views and working up to manual manipulation of tours of several variables. The book is augmented by a wealth of online material. No library descriptions found. |
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Google Books — Indlæser... GenrerMelvil Decimal System (DDC)519.5Natural sciences and mathematics Mathematics Applied Mathematics, Probabilities Statistical MathematicsLC-klassificeringVurderingGennemsnit:
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The main strength of the book is providing very good examples depicting how dynamic graphics based analyses can help analytical methods. I especially consider the chapters on supervised classification and clustering very well designed. Many critical aspects are stressed and the importance of "looking at data before diving into support vector machines, linear discrminant analysis, decision trees and self-organizing maps" is shown from different perspectives (pun intended ;-)
If you are serious about data visualization, data mining and statistics then this book *along* with the accompanying website will be a very good guide. The exercises at the end of each chapter will also provide challenges as well as valuable insights. ( )