255 search results - page 14 / 51 » Data Clustering with a Relational Push-Pull Model |
112
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BMCBI
2010
14 years 9 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
103
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ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
DATAMINE
2006
14 years 9 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
ISCC
2006
IEEE
15 years 3 months ago
2006
IEEE
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....