Dimensionality Reduction with Dimension Selection.
Yi GuoJunbin GaoFeng LiPublished in: PAKDD (1) (2013)
Keyphrases
- dimensionality reduction
- data representation
- high dimensionality
- lower dimension
- structure preserving
- feature selection
- principal component analysis
- subspace learning
- feature extraction
- high dimensional
- high dimensional data
- linear discriminant analysis
- machine learning
- low dimensional
- data points
- pattern recognition
- image processing
- nearest neighbor
- euclidean distance
- feature space
- manifold learning
- selection algorithm
- decision trees
- random projections
- dimensionality reduction methods
- selection criteria
- nonlinear dimensionality reduction
- artificial intelligence
- linear dimensionality reduction
- learning algorithm