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» Hierarchical exploration of large multivariate data sets
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ISICA
2007
Springer
15 years 3 months ago
Parameter Setting for Evolutionary Latent Class Clustering
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
VISSYM
2007
15 years 2 hour ago
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data
Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem of visualizing large time-related data ...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
VISUALIZATION
2002
IEEE
15 years 2 months ago
Interactive Rendering of Large Volume Data Sets
We present a new algorithm for rendering very large volume data sets at interactive framerates on standard PC hardware. The algorithm accepts scalar data sampled on a regular grid...
Stefan Guthe, Michael Wand, Julius Gonser, Wolfgan...
SAMOS
2009
Springer
15 years 4 months ago
Visualization of Computer Architecture Simulation Data for System-Level Design Space Exploration
System-level computer architecture simulations create large volumes of simulation data to explore alternative architectural solutions. Interpreting and drawing conclusions from thi...
Toktam Taghavi, Mark Thompson, Andy D. Pimentel
112
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EGPGV
2004
Springer
181views Visualization» more  EGPGV 2004»
15 years 3 months ago
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing
We present a new parallel multiresolution volume rendering algorithm for visualizing large data sets. Using the wavelet transform, the raw data is first converted into a multires...
Chaoli Wang, Jinzhu Gao, Han-Wei Shen