Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis.
Yun LiBao-Liang LuTeng-Fei ZhangPublished in: Int. J. Artif. Intell. Tools (2009)
Keyphrases
- unsupervised feature selection
- feature selection
- principal component analysis
- dimensionality reduction
- dealing with high dimensional data
- data clustering
- negative matrix factorization
- principal components
- feature extraction
- covariance matrix
- feature space
- dimension reduction
- nonnegative matrix factorization
- text categorization
- singular value decomposition
- feature subset
- data mining applications
- information extraction
- machine learning
- linear discriminant analysis
- low dimensional
- unsupervised learning
- data mining
- data matrix
- text classification
- simulated annealing