Format:
XXV, 590 Seiten
,
Illustrationen, graphische Darstellungen
Edition:
3.edition
ISBN:
9781498776066
,
9781032179056
Series Statement:
Computer science and data analysis series
Content:
Exploratory Data Analysis with MATLAB presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. The revised third edition includes random projections and estimating local intrinsic dimensionality; plots for visualizing data distributions, such as beanplots and violin plots; as well as a chapter on visualizing categorical data.
Note:
This book describes the various methods used for exploratory data analysis with an emphasis on MATLAB implementation. It covers approaches for visualizing data, data tours and animations, clustering (or unsupervised learning), dimensionality reduction, and more. A set of graphical user interfaces allows users to apply the ideas to their own data.
Language:
English
Subjects:
Computer Science
,
Mathematics
Keywords:
Multivariate Analyse
;
MATLAB
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