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» Clustering Large Datasets in Arbitrary Metric Spaces
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CGA
2005
13 years 7 months ago
Hardware-Assisted Feature Analysis and Visualization of Procedurally Encoded Multifield Volumetric Data
Procedural encoding of scattered and unstructured scalar datasets using Radial Basis Functions (RBF) is an active area of research with great potential for compactly representing ...
Manfred Weiler, Ralf P. Botchen, Simon Stegmaier, ...
ICCS
2009
Springer
14 years 1 months ago
Querying for Feature Extraction and Visualization in Climate Modeling
The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate t...
C. Ryan Johnson, Markus Glatter, Wesley Kendall, J...
VLDB
1998
ACM
112views Database» more  VLDB 1998»
13 years 11 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
CGF
1999
86views more  CGF 1999»
13 years 7 months ago
Generalized View-Dependent Simplification
We propose a technique for performing view-dependent geometry and topology simplifications for level-of-detailbased renderings of large models. The algorithm proceeds by preproces...
Jihad El-Sana, Amitabh Varshney
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 7 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler