117 search results - page 10 / 24 » Boosting for Model-Based Data Clustering |
BMCBI
2010
14 years 9 months ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
CLUSTER
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper presents a concurrent object model based on distributed recursive sets for data intensive applications that use complex, recursive data layouts. The set abstraction is ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
KDD
2005
ACM
15 years 10 months ago
2005
ACM
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
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Voted
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...