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GCB
2003
Springer
105views Biometrics» more  GCB 2003»
15 years 3 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
CIARP
2008
Springer
14 years 11 months ago
Cluster Stability Assessment Based on Theoretic Information Measures
Abstract. Cluster validation to determine the right number of clusters is an important issue in clustering processes. In this work, a strategy to address the problem of cluster val...
Damaris Pascual, Filiberto Pla, José Salvad...
ICML
2010
IEEE
14 years 7 months ago
Mining Clustering Dimensions
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
Sajib Dasgupta, Vincent Ng
WEA
2004
Springer
107views Algorithms» more  WEA 2004»
15 years 3 months ago
An Algorithm to Identify Clusters of Solutions in Multimodal Optimisation
Clustering can be used to identify groups of similar solutions in Multimodal Optimisation. However, a poor clustering quality reduces the benefit of this application. The vast maj...
Pedro J. Ballester, Jonathan N. Carter
KBS
2006
150views more  KBS 2006»
14 years 9 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang