On Using Dimensionality Reduction Schemes to Optimize Dissimilarity-Based Classifiers.
Sang-Woon KimJian GaoPublished in: CIARP (2008)
Keyphrases
- dimensionality reduction
- linear discriminant
- semi supervised dimensionality reduction
- feature selection
- high dimensional data
- high dimensional
- principal component analysis
- feature extraction
- low dimensional
- training data
- support vector
- dimensionality reduction methods
- linear classifiers
- manifold learning
- multiple classifiers
- test set
- high dimensionality
- semi supervised
- classification rate
- classification systems
- structure preserving
- data points
- decision trees
- pattern recognition
- random projections
- ensemble classifier
- pattern recognition and machine learning
- linear discriminant analysis
- ensemble learning
- neural network
- naive bayes
- feature set
- class labels
- lower dimensional
- training samples
- locally linear embedding
- support vector machine
- training set
- feature space
- machine learning