Effective Data Reduction Using Discriminative Feature Selection Based on Principal Component Analysis.
Faith NwokomaJustin ForemanCajetan M. AkujuobiPublished in: Mach. Learn. Knowl. Extr. (2024)
Keyphrases
- data reduction
- feature selection
- principal component analysis
- feature extraction
- representative subset
- dimensionality reduction
- data compression
- classification accuracy
- instance selection
- dimension reduction
- singular value decomposition
- high dimensionality
- feature space
- discriminative features
- feature set
- knowledge discovery
- high dimensional
- neural network
- preprocessing
- pattern recognition
- text classification
- unsupervised learning
- classification rules
- least squares
- naive bayes
- text categorization
- knn
- active learning
- data analysis
- high quality
- metadata
- machine learning
- real world