479 search results - page 1 / 96 » General Averaged Divergence Analysis |
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
ISAAC
2009
Springer
14 years 2 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
14 years 1 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 8 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 8 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...