Add to ORKGProvides the first comprehensive overview of the theory and applications of MCA Begins with two chapters that gently introduce the method to those with less experience in the field\ud Adopts a practical approach with many worked examples Includes applications in survey research, social sciences, marketing, health economics, and biomedical research Features software notes in each chapter, an appendix with computational details, and R programs for applying methods DIVIDED BY A COMMON LANGUAGE: ANALYZING AND VISUALIZING TWO-WAY ARRAYS, John C. Gower Introduction: two-way tables and data matrices Quantitative variables Categorical variables Fit and scaling Discussion and conclusio
In this paper a transformation of a three-way array is considered, which minimizes a measure of thre...
International audienceMultiple Correspondence Analysis (MCA) is the method of choicefor themultivari...
To extend the scope of multivariate data visualization, the notion of comparative visualization is i...
Visualisations of two-way arrays are well-understood. Here, a procedure, with geometric underpinning...
This book enables readers who may not be familiar with matrices to understand a variety of multivari...
Two mode analysis of a two array table makes it possible to process and to represent the lines and t...
A problem often occurring in exploratory data analysis is how to summarize large numbers of variable...
With a useful index of notations at the beginning, this book explains and illustrates the theory and...
Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed...
Approximately a quarter of a century ago, the Multi-Dimensional (MD) approach—one of the most powerf...
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows ...
There is a general understanding that quantitative methods are more trustworthy than methods based u...
In the present work we have selected a collection of statistical and mathematical tools useful for t...
In this paper a transformation of a three-way array is considered, which minimizes a measure of thre...
International audienceMultiple Correspondence Analysis (MCA) is the method of choicefor themultivari...
To extend the scope of multivariate data visualization, the notion of comparative visualization is i...
Visualisations of two-way arrays are well-understood. Here, a procedure, with geometric underpinning...
This book enables readers who may not be familiar with matrices to understand a variety of multivari...
Two mode analysis of a two array table makes it possible to process and to represent the lines and t...
A problem often occurring in exploratory data analysis is how to summarize large numbers of variable...
With a useful index of notations at the beginning, this book explains and illustrates the theory and...
Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed...
Approximately a quarter of a century ago, the Multi-Dimensional (MD) approach—one of the most powerf...
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows ...
There is a general understanding that quantitative methods are more trustworthy than methods based u...
In the present work we have selected a collection of statistical and mathematical tools useful for t...
In this paper a transformation of a three-way array is considered, which minimizes a measure of thre...
International audienceMultiple Correspondence Analysis (MCA) is the method of choicefor themultivari...
To extend the scope of multivariate data visualization, the notion of comparative visualization is i...