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SOFTVIS
2010
ACM
15 years 2 months ago
Dependence cluster visualization
Large clusters of mutual dependence have long been regarded as a problem impeding comprehension, testing, maintenance, and reverse engineering. An effective visualization can aid ...
Syed S. Islam, Jens Krinke, David Binkley
MICRO
2002
IEEE
143views Hardware» more  MICRO 2002»
15 years 9 months ago
Effective instruction scheduling techniques for an interleaved cache clustered VLIW processor
Clustering is a common technique to overcome the wire delay problem incurred by the evolution of technology. Fully-distributed architectures, where the register file, the functio...
Enric Gibert, F. Jesús Sánchez, Anto...
BMCBI
2007
178views more  BMCBI 2007»
15 years 4 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
BMCBI
2005
112views more  BMCBI 2005»
15 years 4 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 4 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor