Combining Feature Reduction and Case Selection in Building CBR Classifiers.
Yan LiSimon C. K. ShiuSankar K. PalPublished in: IEEE Trans. Knowl. Data Eng. (2006)
Keyphrases
- feature reduction
- rough sets
- case base
- feature set
- case based reasoning
- text categorization
- feature selection
- random forest
- classification accuracy
- reduction method
- texture segmentation
- support vector machine
- linear discriminant analysis
- case retrieval
- classification algorithm
- training set
- training data
- k nearest neighbor
- viterbi algorithm
- support vector
- naive bayes
- dimensionality reduction
- prediction accuracy
- image classification
- principal component analysis
- knn
- active learning
- multiresolution
- image analysis
- similarity measure
- image segmentation