Shenghui Cheng

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Numerous methods have been described that allow the visualization of the data matrix. But all suffer from a common problem - observing the data points in the context of the attributes is either impossible or inaccurate. We describe a method that allows these types of comprehensive layouts. We achieve it by combining two similarity matrices typically used in(More)
The interface of our system demonstrating the linked display functionality – the highlighted parts are linked with the chosen area. ABSTRACT Contextual layouts preserve the context of the data with the associated attributes (variables). However, their linear mapping causes errors in the layout – similar data points and variable nodes may not map to similar(More)
A concept of shape coordinates system for visualization of data set is proposed in this paper. First, the visualization data set, visualization graphics, visualization process and visualization space are defined. Then, the definition, mapping, operation, theorems, properties and algorithms of shape coordinates system are described. Finally an example to(More)
In streaming acquisitions the data changes over time. ThemeRiver and line charts are common methods to display data over time. However, these methods can only show the values of the variables (or attributes) but not the relationships among them over time. We propose a framework we call StreamVis ND that can display these types of streaming data relations.(More)
Torus networks are widely used in supercomputing. However, due to their complex topology and their large number of nodes, it is difficult for analysts to perceive the messages flow in these networks. We propose a visualization framework called TorusVis<sup>ND</sup> that uses modern information visualization techniques to allow analysts to see the network(More)
Nowadays, environment pollution is one of the most serious problems facing mankind, and more and more people are concerned about it. To solve it, we should get to know it first. In this paper, we present the method of tree-shaped multivariate visualization for hierarchical data, to reveal changes in the data and make comparisons among different pollutants(More)
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