Keyphrases
- categorical data
- dimensionality reduction
- principal component analysis
- cluster analysis
- numerical data
- principal components analysis
- principal components
- parameter free
- linear discriminant analysis
- high dimensional data
- low dimensional
- feature extraction
- numeric data
- dimensionality reduction methods
- linear dimensionality reduction
- high dimensional
- unsupervised learning
- kernel pca
- feature space
- random projections
- feature selection
- manifold learning
- lower dimensional
- reduced dimensionality
- dimension reduction
- high dimensionality
- attribute values
- linear projection
- pattern recognition
- discriminant analysis
- face recognition
- covariance matrix
- data points
- databases
- correspondence analysis
- principle component analysis
- image processing
- decision trees
- data mining
- data analysis
- independent component analysis