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» Feature Selection in Clustering Problems
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IMCSIT
2010
13 years 4 months ago
Evaluation of Clustering Algorithms for Polish Word Sense Disambiguation
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
Bartosz Broda, Wojciech Mazur
ESANN
2007
13 years 9 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...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 1 months ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...
ICPR
2008
IEEE
14 years 8 months ago
Feature selection focused within error clusters
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
Henry S. Baird, Sui-Yu Wang
JAIR
2010
94views more  JAIR 2010»
13 years 6 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng