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» Hierarchical exploration of large multivariate data sets
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CPHYSICS
2004
73views more  CPHYSICS 2004»
14 years 9 months ago
dxhdf5: A software package for importing HDF5 physics data into OpenDX
A software package, dxhdf5, for importing HDF5 data into OpenDX is discussed. HDF5 is a hierarchical, self-describing data format that is rapidly becoming a standard for storing l...
Ireneusz Szczesniak, John R. Cary
CGF
2002
142views more  CGF 2002»
14 years 9 months ago
Efficient Fitting and Rendering of Large Scattered Data Sets Using Subdivision Surfaces
We present a method to efficiently construct and render a smooth surface for approximation of large functional scattered data. Using a subdivision surface framework and techniques...
Vincent Scheib, Jörg Haber, Ming C. Lin, Hans...
BMCBI
2008
121views more  BMCBI 2008»
14 years 9 months ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...
VISSYM
2003
14 years 11 months ago
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...
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DASFAA
2005
IEEE
133views Database» more  DASFAA 2005»
15 years 3 months ago
Mining Frequent Tree-Like Patterns in Large Datasets
In this paper, we propose a novel data mining scheme to explore the frequent hierarchical structure patterns, named tree-like patterns, with the relationship of each item on a sequ...
Tzung-Shi Chen, Shih-Chun Hsu