Three-way methods are multivariate data analysis tools that compress and visualize simultaneous variation of combinations of variables and objects. Unfolding, Tucker and PARAFAC models are examples of such methods. The interest in such tools is increasing in chemometrics. The history of three-way methods is sketched and the basic theory is presented, together with chemical applications. Problems in the three-way analyses area are summarized. Some prospects for future use of three-way methods are given.</p
For the exploratory analysis of three-way data, e.g., measurements of a number of objects, on a num...
The field of multiway data analysis is maturing and deserves a second special issue after the first ...
Recently, a number of methods have been proposed for the exploratory analysis of mixtures of qualita...
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...
Three-way Tucker analysis and CANDECOMP/PARAFAC are popular methods for the analysis of three-way da...
Hyphenated chromatographic instruments, coupling the elution dimension with a multivariate detection...
Although for some research areas it is a new thing, multi-way data analysis is a multivariate analys...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
The standard multivariate analysis addresses data sets represented as two dimensional matrices. In ...
Multiway and multiset analysis is nowadays well established and the continuously increasing number o...
Three-way three-mode data are collected regularly in scientific research and yield information on th...
A number of methods for the analysis of three-way data are described and shown to be variants of pri...
Three-mode factor analysis models are often used in exploratory analysis of three-way data. However,...
For the exploratory analysis of three-way data, e.g., measurements of a number of objects, on a num...
The field of multiway data analysis is maturing and deserves a second special issue after the first ...
Recently, a number of methods have been proposed for the exploratory analysis of mixtures of qualita...
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...
Three-way Tucker analysis and CANDECOMP/PARAFAC are popular methods for the analysis of three-way da...
Hyphenated chromatographic instruments, coupling the elution dimension with a multivariate detection...
Although for some research areas it is a new thing, multi-way data analysis is a multivariate analys...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
The standard multivariate analysis addresses data sets represented as two dimensional matrices. In ...
Multiway and multiset analysis is nowadays well established and the continuously increasing number o...
Three-way three-mode data are collected regularly in scientific research and yield information on th...
A number of methods for the analysis of three-way data are described and shown to be variants of pri...
Three-mode factor analysis models are often used in exploratory analysis of three-way data. However,...
For the exploratory analysis of three-way data, e.g., measurements of a number of objects, on a num...
The field of multiway data analysis is maturing and deserves a second special issue after the first ...
Recently, a number of methods have been proposed for the exploratory analysis of mixtures of qualita...