Exploratory data analysis with MATLAB

Exploratory Data Analysis with MATLAB, Third Edition 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 MA...

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Bibliographic Details
Main Authors: Martinez, Wendy L., (Author), Martinez, Angel R., (Author), Solka, Jeffrey, (Author)
Format: eBook
Language: English
Published: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017]
Edition: Third edition.
Series: Series in computer science and data analysis.
Subjects:
MATLAB.
MATLAB
Multivariate analysis.
Mathematical statistics.
elektronické knihy
electronic books
ISBN: 9781498776073
1498776078
9781315349848
1315349841
9781523114269
1523114266
9781315366968
1315366967
9781315330815
1315330814
9781498776066
149877606X
Physical Description: 1 online resource (625 pages)

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Table of contents

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007 cr cn|||||||||
008 180818s2017 flu ob 001 0 eng d
040 |a EBLCP  |b eng  |e rda  |e pn  |c EBLCP  |d NLE  |d OCLCQ  |d BNG  |d KNOVL  |d CRCPR  |d YDX  |d UAB  |d U3W  |d OTZ  |d WYU  |d OCLCQ  |d OCLCO  |d TYFRS  |d OCLCQ  |d UKAHL  |d VT2  |d OCLCQ  |d OCLCO  |d ZCU  |d OCLCQ  |d SFB  |d ELBRO  |d OCLCQ  |d OCLCO  |d NLW  |d OCLCQ  |d OCLCO  |d OCLCL  |d SXB  |d OCLCQ 
020 |a 9781498776073  |q (electronic bk.) 
020 |a 1498776078  |q (electronic bk.) 
020 |a 9781315349848 
020 |a 1315349841 
020 |a 9781523114269 
020 |a 1523114266 
020 |a 9781315366968 
020 |a 1315366967 
020 |a 9781315330815 
020 |a 1315330814 
020 |z 9781498776066  |q (hardcover) 
020 |z 149877606X 
024 7 |a 10.1201/9781315366968  |2 doi 
035 |a (OCoLC)1048922046  |z (OCoLC)993991827  |z (OCoLC)1001364866  |z (OCoLC)1030583416  |z (OCoLC)1066687039  |z (OCoLC)1103255367 
100 1 |a Martinez, Wendy L.,  |e author. 
245 1 0 |a Exploratory data analysis with MATLAB /  |c Wendy L. Martinez, Angel R. Matinez, Jeffrey L. Solka. 
250 |a Third edition. 
264 1 |a Boca Raton, FL :  |b CRC Press, Taylor & Francis Group,  |c [2017] 
300 |a 1 online resource (625 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Chapman & Hall/CRC computer science and data analysis series 
505 0 |a Intro; Half Title; Series Editor; Title; Copyrights; Dedication; Table of Contents; Preface to the Third Edition; Preface to the Second Edition; Preface to the First Edition; Part I Introduction to Exploratory Data Analysis; Chapter 1 Introduction to Exploratory Data Analysis; 1.1 What is Exploratory Data Analysis; 1.2 Overview of the Text; 1.3 A Few Words about Notation; 1.4 Data Sets Used in the Book; 1.4.1 Unstructured Text Documents; 1.4.2 Gene Expression Data; 1.4.3 Oronsay Data Set; 1.4.4 Software Inspection; 1.5 Transforming Data; 1.5.1 Power Transformations; 1.5.2 Standardization. 
505 8 |a 1.5.3 Sphering the Data1.6 Further Reading; Exercises; Part II EDA as Pattern Discovery; Chapter 2 Dimensionality Reduction -- Linear Methods; 2.1 Introduction; 2.2 Principal Component Analysis -- PCA; 2.2.1 PCA Using the Sample Covariance Matrix; 2.2.2 PCA Using the Sample Correlation Matrix; 2.2.3 How Many Dimensions Should We Keep; 2.3 Singular Value Decomposition -- SVD; 2.4 Nonnegative Matrix Factorization; 2.5 Factor Analysis; 2.6 Fisher's Linear Discriminant; 2.7 Random Projections; 2.8 Intrinsic Dimensionality; 2.8.1 Nearest Neighbor Approach; 2.8.2 Correlation Dimension. 
505 8 |a 2.8.3 Maximum Likelihood Approach2.8.4 Estimation Using Packing Numbers; 2.8.5 Estimation of Local Dimension; 2.9 Summary and Further Reading; Exercises; Chapter 3 Dimensionality Reduction-Nonlinear Methods; 3.1 Multidimensional Scaling -- MDS; 3.1.1 Metric MDS; 3.1.2 Nonmetric MDS; 3.2 Manifold Learning; 3.2.1 Locally Linear Embedding; 3.2.2 Isometric Feature Mapping -- ISOMAP; 3.2.3 Hessian Eigenmaps; 3.3 Artificial Neural Network Approaches; 3.3.1 Self-Organizing Maps; 3.3.2 Generative Topographic Maps; 3.3.3 Curvilinear Component Analysis; 3.3.4 Autoencoders. 
505 8 |a 3.4 Stochastic Neighbor Embedding3.5 Summary and Further Reading; Exercises; Chapter 4 Data Tours; 4.1 Grand Tour; 4.1.1 Torus Winding Method; 4.1.2 Pseudo Grand Tour; 4.2 Interpolation Tours; 4.3 Projection Pursuit; 4.4 Projection Pursuit Indexes; 4.4.1 Posse Chi-Square Index; 4.4.2 Moment Index; 4.5 Independent Component Analysis; 4.6 Summary and Further Reading; Exercises; Chapter 5 Finding Clusters; 5.1 Introduction; 5.2 Hierarchical Methods; 5.3 Optimization Methods- k-Means; 5.4 Spectral Clustering; 5.5 Document Clustering; 5.5.1 Nonnegative Matrix Factorization -- Revisited. 
505 8 |a 5.5.2 Probabilistic Latent Semantic Analysis5.6 Minimum Spanning Trees and Clustering; 5.6.1 Definitions; 5.6.2 Minimum Spanning Tree Clustering; 5.7 Evaluating the Clusters; 5.7.1 Rand Index; 5.7.2 Cophenetic Correlation; 5.7.3 Upper Tail Rule; 5.7.4 Silhouette Plot; 5.7.5 Gap Statistic; 5.7.6 Cluster Validity Indices; 5.8 Summary and Further Reading; Exercises; Chapter 6 Model-Based Clustering; 6.1 Overview of Model-Based Clustering; 6.2 Finite Mixtures; 6.2.1 Multivariate Finite Mixtures; 6.2.2 Component Models -- Constraining the Covariances; 6.3 Expectation-Maximization Algorithm. 
500 |a 6.4 Hierarchical Agglomerative Model-Based Clustering. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Exploratory Data Analysis with MATLAB, Third Edition 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. --  |c Provided by publisher. 
504 |a Includes bibliographical references and indexes. 
590 |a Knovel  |b Knovel (All titles) 
630 0 0 |a MATLAB. 
630 0 7 |a MATLAB  |2 fast 
650 0 |a Multivariate analysis. 
650 0 |a Mathematical statistics. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Martinez, Angel R.,  |e author. 
700 1 |a Solka, Jeffrey,  |e author. 
776 0 8 |i Print version:  |a Martinez, Wendy L.  |t Exploratory data analysis with MATLAB.  |d Boca Raton : Chapman and Hall/CRC, [2017]  |z 9781498776066  |w (OCoLC)959965302 
830 0 |a Series in computer science and data analysis. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpEDAMATL3/exploratory-data-analysis?kpromoter=marc  |y Full text 

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