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Volumn , Issue , 2006, Pages 28-33
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Selection of clusters number and features subset during a two-levels clustering task
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Author keywords
Clustering; Feature selection; Model selection; Self organizing maps
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Indexed keywords
ARTIFICIAL INTELLIGENCE;
CONFORMAL MAPPING;
DECISION SUPPORT SYSTEMS;
FEATURE EXTRACTION;
FLOW OF SOLIDS;
INFORMATION MANAGEMENT;
OPTICAL PROJECTORS;
SELF ORGANIZING MAPS;
SOFT COMPUTING;
BACKWARD ELIMINATIONS;
CLUSTERING;
CLUSTERING APPROACHES;
DATA SETS;
FEATURE SELECTION;
FEATURES SELECTIONS;
FS METHODS;
K-MEANS;
MODEL SELECTION;
NEW APPROACHES;
NUMBER OF CLUSTERS;
ONE HANDS;
OUT-LIERS;
RUNNING TIMES;
CLUSTERING ALGORITHMS;
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EID: 47349132601
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (8)
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References (17)
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