524 search results - page 13 / 105 » On the Performance of Clustering in Hilbert Spaces |
STOC
2002
ACM
15 years 10 months ago
2002
ACM
In this paper, we show that for several clustering problems one can extract a small set of points, so that using those core-sets enable us to perform approximate clustering effici...
SIGMOD
1997
ACM
15 years 2 months ago
1997
ACM
Most similarity search techniques map the data objects into some high-dimensional feature space. The similarity search then corresponds to a nearest-neighbor search in the feature...
JCP
2008
14 years 10 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
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BMCBI
2006
14 years 10 months ago
2006
Background: Computing exact multipoint LOD scores for extended pedigrees rapidly becomes infeasible as the number of markers and untyped individuals increase. When markers are exc...
CATA
2003
14 years 11 months ago
2003
In a real-time system, it is attractive to use cluster computing system for realizing high performance and high availability. The objectives of the real-time clusters are maximize...