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Statistics And Computing John Chambers Auth Software For Data Analysis Programming With R Springer Verlag New York 2008 by Desconocido is a nonfiction available to read on EtoBox.

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<p><P>Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets. Traditional methods like principal component analysis and classical metric multidimensional scaling suffer from being based on linear models. Until recently, very few methods were able to reduce the data dimensionality in a nonlinear way. However, since the late nineties, many new methods have been developed and nonlinear dimensionality reduction, also called manifold learning, has become a hot topic. New advances that account for this rapid growth are, e.g. the use of graphs to represent the manifold topology, and the use of new metrics like the geodesic distance. In addition, new optimization schemes, based on kernel techniques and spectral decomposition, have lead to spectral embedding, which encompasses many of the recently developed methods. <p>This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. Methods are compared with each other with the help of di

Who reads Statistics And Computing John Chambers Auth Software For Data Analysis Programming With R Springer Verlag New York 2008?

Author

Desconocido

Publisher

Springer New York : Springer e-books : Imprint : Springer : Springer e-books

Published

2008

Language

EN

ISBN

9780387717616

Category

nonfiction

Subjects

Computer Science, Mathematics, Engineering