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» A Quality Measure for Distributed Clustering
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CLUSTER
2002
IEEE
14 years 20 days ago
Supermon: A High-Speed Cluster Monitoring System
Supermon is a flexible set of tools for high speed, scalable cluster monitoring. Node behavior can be monitored much faster than with other commonly used methods (e.g., rstatd). ...
Matthew J. Sottile, Ronald Minnich
COR
2010
146views more  COR 2010»
13 years 7 months ago
A search space "cartography" for guiding graph coloring heuristics
We present a search space analysis and its application in improving local search algorithms for the graph coloring problem. Using a classical distance measure between colorings, w...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
BMCBI
2005
82views more  BMCBI 2005»
13 years 7 months ago
Quality assessment of microarrays: Visualization of spatial artifacts and quantitation of regional biases
Background: Quality-control is an important issue in the analysis of gene expression microarrays. One type of problem is regional bias, in which one region of a chip shows artifac...
Mark Reimers, John N. Weinstein
ECCV
2006
Springer
13 years 11 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
ICPR
2008
IEEE
14 years 2 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay