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» Clustering the Feature Space
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CVPR
2008
IEEE
14 years 4 months ago
Partitioning of image datasets using discriminative context information
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
Christoph H. Lampert
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
14 years 3 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
ESANN
2007
13 years 11 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
BMCBI
2005
122views more  BMCBI 2005»
13 years 10 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
14 years 3 months ago
Exploratory Data Analysis with Interactive Evolution
We illustrate with two simple examples how Interactive Evolutionary Computation (IEC) can be applied to Exploratory Data Analysis (EDA). IEC is particularly valuable in an EDA cont...
Sergey Malinchik, Eric Bonabeau