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» An overview of clustering methods
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84
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RECOMB
2008
Springer
16 years 26 days ago
CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
Sourav Chatterji, Ichitaro Yamazaki, Zhaojun Bai, ...
93
Voted
DCC
2006
IEEE
16 years 4 days ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
107
Voted
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 9 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
ICCAD
2008
IEEE
138views Hardware» more  ICCAD 2008»
15 years 9 months ago
Fault tolerant placement and defect reconfiguration for nano-FPGAs
—When manufacturing nano-devices, defects are a certainty and reliability becomes a critical issue. Until now, the most pervasive methods used to address reliability, involve inj...
Amit Agarwal, Jason Cong, Brian Tagiku
106
Voted
ICCAD
2005
IEEE
151views Hardware» more  ICCAD 2005»
15 years 9 months ago
Architecture and details of a high quality, large-scale analytical placer
Modern design requirements have brought additional complexities to netlists and layouts. Millions of components, whitespace resources, and fixed/movable blocks are just a few to ...
Andrew B. Kahng, Sherief Reda, Qinke Wang