1775 search results - page 115 / 355 » Learning Spectral Clustering |
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
101
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ECML
2006
Springer
15 years 1 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
119
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SIGMOD
2011
ACM
14 years 27 days ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
BMCBI
2010
14 years 10 months ago
2010
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
In one-class classification we seek a rule to find a coherent subset of instances similar to a few positive examples in a large pool of instances. The problem can be formulated an...