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» Eigensolver Methods for Progressive Multidimensional Scaling...
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GD
2006
Springer
13 years 8 months ago
Eigensolver Methods for Progressive Multidimensional Scaling of Large Data
We present a novel sampling-based approximation technique for classical multidimensional scaling that yields an extremely fast layout algorithm suitable even for very large graphs....
Ulrik Brandes, Christian Pich
APVIS
2003
13 years 6 months ago
A Scalable Method for Visualising Changes in Portfolio Data
In this paper techniques from multidimensional scaling and graph drawing are coupled to provide an overview-and-detail style method for visualising a high dimensional dataset whos...
Tim Dwyer
EUSFLAT
2009
142views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Multi-Dimensional Scaling applied to Hierarchical Rule Systems
Abstract-- This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy together with the training patterns they cover. A standard multi-dime...
Thomas R. Gabriel, Kilian Thiel, Michael R. Bertho...
NN
2006
Springer
104views Neural Networks» more  NN 2006»
13 years 4 months ago
Local multidimensional scaling
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
Jarkko Venna, Samuel Kaski
INFOVIS
2003
IEEE
13 years 10 months ago
Visualization of Large-Scale Customer Satisfaction Surveys Using a Parallel Coordinate Tree
Satisfaction surveys are an important measurement tool in fields such as market research or human resources management. Serious studies consist of numerous questions and contain a...
Dominique Brodbeck, Luc Girardin