PCA for improving the performance of XCSF in classification of high-dimensional problems.
Mohammad BehdadTim FrenchLuigi BaroneMohammed BennamounPublished in: GECCO (Companion) (2011)
Keyphrases
- high dimensional problems
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- principle component analysis
- pattern recognition
- svm classifier
- classification accuracy
- support vector machine
- feature space
- high dimensionality
- class labels
- support vector machine svm
- text classification
- dimensionality reduction
- machine learning
- supervised learning
- feature vectors
- preprocessing
- feature set
- unsupervised learning
- classification algorithm
- principal components analysis
- principal components
- data sets
- feature reduction
- extracting features
- decision trees
- pattern classification
- face recognition
- support vector
- linear discriminant analysis
- multi class
- data warehouse
- low dimensional