Une sélection multiple des structures d'optimisation dirigée par la méthode de classification K-means.
Rym BouchakriLadjel BellatrecheKamel BoukhalfaPublished in: EDA (2010)
Keyphrases
- k means
- pattern recognition
- automatic classification
- classification scheme
- feature selection
- classification systems
- text classification
- feature vectors
- benchmark data sets
- classification accuracy
- classification algorithm
- clustering method
- classification method
- pattern classification
- preprocessing
- clustering analysis
- genetic algorithm
- data clustering
- classification rules
- support vector machine svm
- unsupervised learning
- feature space
- feature extraction
- svm classifier
- benchmark datasets
- data sets
- feature set
- support vector machine
- evolutionary algorithm
- support vector
- supervised classification
- combining multiple
- decision trees
- text clustering