A comparison of PCA, ICA and GA selected features for cloud field classification.
Carlos J. García OrellanaMiguel Macías MacíasAntonio Serrano PérezHoracio M. González VelascoRamón Gallardo CaballeroPublished in: J. Intell. Fuzzy Syst. (2002)
Keyphrases
- selected features
- feature extraction
- independent component analysis
- classification method
- classification accuracy
- feature selection
- svm classifier
- feature set
- principal component analysis
- classification rate
- principle component analysis
- feature subset selection
- feature subset
- genetic algorithm ga
- feature space
- support vector machine
- cross validation
- feature selection and classification
- support vector
- face recognition
- pattern recognition
- feature selection algorithms
- image classification
- support vector machine svm
- random forest
- machine learning
- extracted features
- text classification
- recognition rate
- feature vectors
- benchmark datasets
- informative features
- classification models
- model selection
- high dimensionality
- decision trees
- genetic algorithm
- selection algorithm
- fitness function
- data sets
- dimensionality reduction
- data points
- artificial neural networks
- training set
- independent components analysis