Exploring dataset similarities using PCA-based feature selection.
Ingo SiegertRonald BöckAndreas WendemuthBogdan VlasenkoPublished in: ACII (2015)
Keyphrases
- feature selection
- feature set
- benchmark datasets
- classification models
- classification accuracy
- feature extraction
- multi class
- feature space
- similarity measure
- mutual information
- text categorization
- information gain
- discriminative features
- fold cross validation
- high dimensionality
- machine learning
- unsupervised learning
- microarray datasets
- support vector classification
- forward selection
- synthetic datasets
- principal components
- feature selection algorithms
- human actions
- feature subset
- microarray data
- dimensionality reduction
- principal component analysis
- support vector machine