Although for some research areas it is a new thing, multi-way data analysis is a multivariate analysis technique that has had a wide appliance in a lot of fields. In dependence of the problem at hand, different types of multi-way data and specific multi-way models already exist. In this report, we give a general panoramic of multi-way data analysis, and some particular aspects needed to be taken into account when modeling such type of data. We describe some of the most used multi-way models and algorithms, outlining advantages and limitations that have been treated in new versions and others that still not. We also dedicate a chapter to describe in a sort of way, the research areas where multi-way analysis is most common, of a widely range ...
AbstractA cross section of basic yet rapidly developing topics in multivariate data analysis is surv...
Abstract: The framework of this short paper is tree-based models for three-way data. Three-way data ...
Motivation: Analysis of variance (ANOVA)-type methods are the default tool for the analysis of data ...
International audienceIn standard multivariate data analysis, individuals × variables data table is ...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
The field of multiway data analysis is maturing and deserves a second special issue after the first ...
In this Chapter, the state-of-the-art approaches for the classification of multi-way data is present...
With a useful index of notations at the beginning, this book explains and illustrates the theory and...
A practical guide for multivariate statistical techniques-- now updated and revised In recent years...
In recent years, statistical techniques and methods for data analysis have advanced significantly in...
Multiway and multiset analysis is nowadays well established and the continuously increasing number o...
An important achievement in the analysis of complex data matrices lacking the appropriate conditions...
This book offers a concise and well-organized introduction to multivariate statistical analysis meth...
Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivaria...
AbstractA cross section of basic yet rapidly developing topics in multivariate data analysis is surv...
Abstract: The framework of this short paper is tree-based models for three-way data. Three-way data ...
Motivation: Analysis of variance (ANOVA)-type methods are the default tool for the analysis of data ...
International audienceIn standard multivariate data analysis, individuals × variables data table is ...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
The field of multiway data analysis is maturing and deserves a second special issue after the first ...
In this Chapter, the state-of-the-art approaches for the classification of multi-way data is present...
With a useful index of notations at the beginning, this book explains and illustrates the theory and...
A practical guide for multivariate statistical techniques-- now updated and revised In recent years...
In recent years, statistical techniques and methods for data analysis have advanced significantly in...
Multiway and multiset analysis is nowadays well established and the continuously increasing number o...
An important achievement in the analysis of complex data matrices lacking the appropriate conditions...
This book offers a concise and well-organized introduction to multivariate statistical analysis meth...
Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivaria...
AbstractA cross section of basic yet rapidly developing topics in multivariate data analysis is surv...
Abstract: The framework of this short paper is tree-based models for three-way data. Three-way data ...
Motivation: Analysis of variance (ANOVA)-type methods are the default tool for the analysis of data ...