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» An Evaluation on Feature Selection for Text Clustering
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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
14 years 4 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
KBSE
2007
IEEE
14 years 1 months ago
Context-aware statistical debugging: from bug predictors to faulty control flow paths
Effective bug localization is important for realizing automated debugging. One attractive approach is to apply statistical techniques on a collection of evaluation profiles of pr...
Lingxiao Jiang, Zhendong Su
ICHIM
2001
104views more  ICHIM 2001»
13 years 8 months ago
The New Norwegian Rock Art Database
The Rock Art Project was set up by the Directorate for Cultural Heritage on behalf of the Norwegian Ministry of the Environment in 1996. The database was initiated within the EU-s...
Wenche Helliksen, Inger Marie Holm-Olsen, Olaug Ha...
BMCBI
2008
119views more  BMCBI 2008»
13 years 7 months ago
Gene Ontology density estimation and discourse analysis for automatic GeneRiF extraction
Background: This paper describes and evaluates a sentence selection engine that extracts a GeneRiF (Gene Reference into Functions) as defined in ENTREZ-Gene based on a MEDLINE rec...
Julien Gobeill, Imad Tbahriti, Frédé...