1950 search results - page 256 / 390 » Informative sampling for large unbalanced data sets |
147
Voted
STACS
2007
Springer
15 years 9 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
135
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
132
Voted
PR
2006
15 years 3 months ago
2006
A cross-validation error estimator is obtained by repeatedly leaving out some data points, deriving classifiers on the remaining points, computing errors for these classifiers on ...
147
Voted
ADMA
2008
Springer
15 years 10 months ago
2008
Springer
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
135
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...