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» Parallel Sets: Visual Analysis of Categorical Data
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SSDBM
2005
IEEE
218views Database» more  SSDBM 2005»
13 years 11 months ago
The "Best K" for Entropy-based Categorical Data Clustering
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Keke Chen, Ling Liu
CLADE
2004
IEEE
13 years 9 months ago
Grid Service for Visualization and Analysis of Remote Fusion Data
Simulations and experiments in the fusion and plasma physics community generate large datasets at remote sites. Visualization and analysis of these datasets are difficult because ...
Svetlana G. Shasharina, Nanbor Wang, John R. Cary
PLDI
2012
ACM
11 years 8 months ago
Diderot: a parallel DSL for image analysis and visualization
Research scientists and medical professionals use imaging technology, such as computed tomography (CT) and magnetic resonance imaging (MRI) to measure a wide variety of biological...
Charisee Chiw, Gordon Kindlmann, John Reppy, Lamon...
TVCG
2011
152views more  TVCG 2011»
13 years 22 days ago
Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data
—Visual exploration of multivariate data typically requires projection onto lower-dimensional representations. The number of possible representations grows rapidly with the numbe...
Andrada Tatu, Georgia Albuquerque, Martin Eisemann...
VISUALIZATION
2000
IEEE
13 years 10 months ago
Fast visualization methods for comparing dynamics: a case study in combustion
Visualization can be an important tool for displaying, categorizing and digesting large quantities of inter-related information during laboratory and simulation experiments. Summa...
Kay A. Robbins, Michael Gorman