479 search results - page 1 / 96 » General Averaged Divergence Analysis |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
ISAAC
2009
Springer
13 years 11 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
This paper focuses on the consensus averaging problem on graphs under general noisy channels. We study a particular class of distributed consensus algorithms based on damped updat...
BMCBI
2006
13 years 4 months ago
2006
Background: Array-based comparative genome hybridization (aCGH) is a tool for rapid comparison of genomes from different bacterial strains. The purpose of such analysis is to dete...