Correspondence Analysis and Data Coding with Java and R

Correspondence Analysis and Data Coding with Java and R PDF Author: Fionn Murtagh
Publisher: CRC Press
ISBN: 1420034944
Category : Mathematics
Languages : en
Pages : 253

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Book Description
Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater

Correspondence Analysis and Data Coding with Java and R

Correspondence Analysis and Data Coding with Java and R PDF Author: Fionn Murtagh
Publisher: CRC Press
ISBN: 1420034944
Category : Mathematics
Languages : en
Pages : 253

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Book Description
Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater

Classification as a Tool for Research

Classification as a Tool for Research PDF Author: Hermann Locarek-Junge
Publisher: Springer Science & Business Media
ISBN: 3642107451
Category : Mathematics
Languages : en
Pages : 825

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Book Description
Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.

Multiple Correspondence Analysis for the Social Sciences

Multiple Correspondence Analysis for the Social Sciences PDF Author: Johs. Hjellbrekke
Publisher: Routledge
ISBN: 1315516233
Category : Social Science
Languages : en
Pages : 154

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Book Description
Multiple correspondence analysis (MCA) is a statistical technique that first and foremost has become known through the work of the late Pierre Bourdieu (1930–2002). This book will introduce readers to the fundamental properties, procedures and rules of interpretation of the most commonly used forms of correspondence analysis. The book is written as a non-technical introduction, intended for the advanced undergraduate level and onwards. MCA represents and models data sets as clouds of points in a multidimensional Euclidean space. The interpretation of the data is based on these clouds of points. In seven chapters, this non-technical book will provide the reader with a comprehensive introduction and the needed knowledge to do analyses on his/her own: CA, MCA, specific MCA, the integration of MCA and variance analysis, of MCA and ascending hierarchical cluster analysis and class-specific MCA on subgroups. Special attention will be given to the construction of social spaces, to the construction of typologies and to group internal oppositions. This is a book on data analysis for the social sciences rather than a book on statistics. The main emphasis is on how to apply MCA to the analysis of practical research questions. It does not require a solid understanding of statistics and/or mathematics, and provides the reader with the needed knowledge to do analyses on his/her own.

Multiple Correspondence Analysis

Multiple Correspondence Analysis PDF Author: Brigitte Le Roux
Publisher: SAGE
ISBN: 1412968976
Category : Mathematics
Languages : en
Pages : 129

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Book Description
"Requiring no prior knowledge of correspondence analysis, this text provides anontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte Le Roux and Henry Rouanet, present the material in a practical manner, keeping the needs of researchers foremost in mind." "This supplementary text isappropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as forindividual researchers." --Book Jacket.

Correspondence Analysis

Correspondence Analysis PDF Author: Eric J. Beh
Publisher: John Wiley & Sons
ISBN: 1118762908
Category : Mathematics
Languages : en
Pages : 646

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Book Description
A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years. The main focus of this book is to provide a comprehensive discussion of some of the key technical and practical aspects of correspondence analysis, and to demonstrate how they may be put to use. Particular attention is given to the history and mathematical links of the developments made. These links include not just those major contributions made by researchers in Europe (which is where much of the attention surrounding correspondence analysis has focused) but also the important contributions made by researchers in other parts of the world. Key features include: A comprehensive international perspective on the key developments of correspondence analysis. Discussion of correspondence analysis for nominal and ordinal categorical data. Discussion of correspondence analysis of contingency tables with varying association structures (symmetric and non-symmetric relationship between two or more categorical variables). Extensive treatment of many of the members of the correspondence analysis family for two-way, three-way and multiple contingency tables. Correspondence Analysis offers a comprehensive and detailed overview of this topic which will be of value to academics, postgraduate students and researchers wanting a better understanding of correspondence analysis. Readers interested in the historical development, internationalisation and diverse applicability of correspondence analysis will also find much to enjoy in this book.

Textual Data Science with R

Textual Data Science with R PDF Author: Mónica Bécue-Bertaut
Publisher: CRC Press
ISBN: 1351816357
Category : Mathematics
Languages : en
Pages : 158

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Book Description
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential.

Exploratory Multivariate Analysis by Example Using R

Exploratory Multivariate Analysis by Example Using R PDF Author: Francois Husson
Publisher: CRC Press
ISBN: 1315301857
Category : Mathematics
Languages : en
Pages : 200

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Book Description
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) a

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB PDF Author: Wendy L. Martinez
Publisher: CRC Press
ISBN: 1439812217
Category : Business & Economics
Languages : en
Pages : 525

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Book Description
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 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

Theory and Method in Higher Education Research

Theory and Method in Higher Education Research PDF Author: Jeroen Huisman
Publisher: Emerald Group Publishing
ISBN: 1787692779
Category : Education
Languages : en
Pages : 260

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Book Description
This volume of Theory and Method in Higher Education Research contains analyses and discussions of, amongst others, topic modelling, geometric data analysis,creativity and playfulness, longitudinal network analysis, grounded theory methods and autonetnography.

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences PDF Author: Arjuna Tuzzi
Publisher: Springer
ISBN: 331997064X
Category : Social Science
Languages : en
Pages : 223

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Book Description
This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.