Ensembles of Classifiers based on Dimensionality Reduction
Alon SchclarLior RokachAmir AmitPublished in: CoRR (2013)
Keyphrases
- class labels
- dimensionality reduction
- base classifiers
- training data
- supervised learning
- training set
- feature set
- ensemble learning
- high dimensional
- principal component analysis
- data representation
- decision trees
- data points
- low dimensional
- pattern recognition
- high dimensionality
- classifier ensemble
- feature selection
- feature extraction
- high dimensional data
- pattern recognition and machine learning
- structure preserving
- imbalanced data
- semi supervised dimensionality reduction
- manifold learning
- principal components
- feature space
- ensemble methods
- ensemble classifier
- dimensionality reduction methods
- weak learners
- classifier combination
- individual classifiers
- weighted voting
- combining classifiers
- linear discriminant analysis
- diversity measures
- active learning