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BMCBI
2005
112views more  BMCBI 2005»
13 years 8 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
IEEEVAST
2010
13 years 3 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
INFOVIS
2005
IEEE
14 years 2 months ago
Parallel Sets: Visual Analysis of Categorical Data
The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
Fabian Bendix, Robert Kosara, Helwig Hauser
ICDE
1997
IEEE
108views Database» more  ICDE 1997»
14 years 10 months ago
Titan: A High-Performance Remote Sensing Database
There are two major challenges for a high-performance remote-sensing database. First, it must provide low-latency retrieval of very large volumes of spatio-temporaldata. This requ...
Chialin Chang, Bongki Moon, Anurag Acharya, Carter...
DAGSTUHL
2010
13 years 10 months ago
Real-time Terrain Mapping
Abstract. We present an interactive, real-time mapping system for digital elevation maps (DEMs), which allows Earth scientists to map and therefore understand the deformation of th...
Tony Bernardin, Eric Cowgil, Ryan D. Gold, Bernd H...