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» Limits of Spectral Clustering
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BMCBI
2010
145views more  BMCBI 2010»
15 years 27 days ago
Clustering metagenomic sequences with interpolated Markov models
Background: Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and s...
David R. Kelley, Steven L. Salzberg
86
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BMCBI
2006
84views more  BMCBI 2006»
15 years 25 days ago
Inferring topology from clustering coefficients in protein-protein interaction networks
Background: Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete inte...
Caroline C. Friedel, Ralf Zimmer
126
Voted
TCBB
2008
107views more  TCBB 2008»
15 years 20 days ago
Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering
It is a consensus in microarray analysis that identifying potential local patterns, characterized by coherent groups of genes and conditions, may shed light on the discovery of pre...
Hyuk Cho, Inderjit S. Dhillon
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 6 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
EMSOFT
2006
Springer
15 years 4 months ago
Compiler-assisted leakage energy optimization for clustered VLIW architectures
Miniaturization of devices and the ensuing decrease in the threshold voltage has led to a substantial increase in the leakage component of the total processor energy consumption. ...
Rahul Nagpal, Y. N. Srikant