Dimension reduction in principal component analysis for trees.
Carlos A. AlfaroBurcu AydinCarlos E. ValenciaElizabeth BullittAlim LadhaPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- dimension reduction
- principal component analysis
- dimensionality reduction
- linear discriminant analysis
- low dimensional
- random projections
- principal components
- variable selection
- singular value decomposition
- feature extraction
- independent component analysis
- partial least squares
- data mining and machine learning
- decision trees
- dimension reduction methods
- feature space
- face recognition
- manifold learning
- discriminant analysis
- high dimensional problems
- high dimensional data analysis
- covariance matrix
- face images
- discriminative information
- principle component analysis
- preprocessing step
- linear projection
- feature selection
- high dimensional data
- unsupervised learning
- dimensionality reduction methods
- text mining
- lower dimensional
- least squares
- pairwise
- data analysis
- data sets