Keyphrases
- principle component analysis
- feature selection
- dimension reduction
- feature extraction
- feature space
- independent component analysis
- svm classifier
- dimensionality reduction
- feature set
- lower dimensional
- fault diagnosis
- face recognition
- support vector machine
- high dimensionality
- random projections
- text classification
- support vector
- machine learning
- covariance matrix
- dimensionality reduction methods
- preprocessing step
- kernel pca
- nearest neighbor classifier
- independent components
- microarray
- data sets
- unsupervised learning
- feature subset
- principal component analysis
- data points
- preprocessing