In this paper the problem of visualizing categorical multivariate data sets is considered. By representing the data as the adjacency matrix of an appropriately defined bipartite graph, the problem is transformed to one of graph drawing. A general graph drawing framework is introduced, the corresponding mathematical problem defined and an algorithmic approach for solving the necessary optimization problem discussed. The new approach is illustrated through several examples
Most graph visualization techniques focus on the structure of graphs and do not offer support for de...
We present a set of interactive techniques for the visual analysis of multi-dimensional categorical ...
The goal of information visualization is to transform abstract data into efficient visual format whi...
Abstract. Graph drawing is increasingly considering the embedding and drawing of multivariate or hig...
The thesis deals with the possibilities of visualization of multivariate statistical data. Since thi...
In this paper we explore the relationship between multivariate data analysis and techniques for grap...
Interaction is a vital component in the visualization of multivariate networks. It enables greater a...
AbstractThis paper presents a new multivariate graphical technique called polyhedron graphs (P-graph...
Information Visualization is an area of research concerned with the presentation of abstract data in...
We discuss two classes of drawing methods for multivariate categorical data. Both are inspired by mu...
Homogeneity analysis is a technique for making graphical representations of categorical multivariate...
Visualizing the data is an essential part of any data analysis. Modern computing developments have l...
Computer graphics which are useful for displaying and analyzing data are presented. Many classical a...
The goal of my work was described the possibilities of the graphical analysis of categorical data. T...
We present an interactive visualization method for the multivariate analysis of large and complex da...
Most graph visualization techniques focus on the structure of graphs and do not offer support for de...
We present a set of interactive techniques for the visual analysis of multi-dimensional categorical ...
The goal of information visualization is to transform abstract data into efficient visual format whi...
Abstract. Graph drawing is increasingly considering the embedding and drawing of multivariate or hig...
The thesis deals with the possibilities of visualization of multivariate statistical data. Since thi...
In this paper we explore the relationship between multivariate data analysis and techniques for grap...
Interaction is a vital component in the visualization of multivariate networks. It enables greater a...
AbstractThis paper presents a new multivariate graphical technique called polyhedron graphs (P-graph...
Information Visualization is an area of research concerned with the presentation of abstract data in...
We discuss two classes of drawing methods for multivariate categorical data. Both are inspired by mu...
Homogeneity analysis is a technique for making graphical representations of categorical multivariate...
Visualizing the data is an essential part of any data analysis. Modern computing developments have l...
Computer graphics which are useful for displaying and analyzing data are presented. Many classical a...
The goal of my work was described the possibilities of the graphical analysis of categorical data. T...
We present an interactive visualization method for the multivariate analysis of large and complex da...
Most graph visualization techniques focus on the structure of graphs and do not offer support for de...
We present a set of interactive techniques for the visual analysis of multi-dimensional categorical ...
The goal of information visualization is to transform abstract data into efficient visual format whi...