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Exploratory data analysis with MATLAB. 2nd ed. (English) Zbl 1270.62014
Chapman & Hall/CRC Computer Science & Data Analysis Series. Boca Raton, FL: CRC Press (ISBN 978-1-4398-1220-4/hbk; 978-1-4398-1221-1/ebook). xix, 508 p. (2011).
Publisher’s description: New to the second edition:
– Discussions of nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, and smoothing splines;
– An expanded set of methods for estimating the intrinsic dimensionality of a data set;
– Several clustering methods, including probabilistic latent semantic analysis and spectral-based clustering;
– Additional visualization methods, such as a rangefinder boxplot, scatterplots with marginal histograms, biplots, and a new method called Andrews’ images;
– Instructions on a free MATLAB GUI toolbox for EDA.
Like its predecessor, this edition continues to focus on using EDA methods, rather than theoretical aspects. The MATLAB codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download at http://pi-sigma.info.
For the review of the first edition from 2005 see Zbl 1067.62005.

62-07 Data analysis (statistics) (MSC2010)
62-04 Software, source code, etc. for problems pertaining to statistics
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
Matlab; EDA
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