Martinez W.L., Martinez A., Solka J. Exploratory Data Analysis with MatLAB

CRC Press, 2010. - 530 p.Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MatLAB, Second Edition uses numerous examples and applications to show how the methods are used in practice.New to the Second EditionDiscussions 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.