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» A divide-and-merge methodology for clustering
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ECML
2006
Springer
15 years 1 months ago
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Bojun Yan, Carlotta Domeniconi
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
15 years 11 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
IPPS
2009
IEEE
15 years 4 months ago
Application profiling on Cell-based clusters
In this paper, we present a methodology for profiling parallel applications executing on the IBM PowerXCell 8i (commonly referred to as the “Cell” processor). Specifically, we...
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson...
SAC
2005
ACM
15 years 3 months ago
Discovering parametric clusters in social small-world graphs
We present a strategy for analyzing large, social small-world graphs, such as those formed by human networks. Our approach brings together ideas from a number of different resear...
Jonathan McPherson, Kwan-Liu Ma, Michael Ogawa
86
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SIGGRAPH
1995
ACM
15 years 1 months ago
Feature-based control of visibility error: a multi-resolution clustering algorithm for global illumination
In this paper we introduce a new approach to controlling error in hierarchical clustering algorithms for radiosity. The new method ensures that just enough work is done to meet th...
François X. Sillion, George Drettakis