WENDY L.MARTINEZ – EXPLORATORY DATA ANALYSIS WITH MATLAB

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis. There are innovative approaches for clustering and visualization. Data analysis with MATLAB It’s ® The second edition. A lot of examples and applications are used to show how the methods are used.

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

The previous edition focused on using EDA methods rather than theoretical aspects. The codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download.

Wendy L.Martinez is an Exploratory Data Analysis.

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