A Dimension Reduction Approach Using Shrinking for Multi-Dimensional Data Analysis.
Yong ShiPublished in: Int. J. Intell. Inf. Process. (2010)
Keyphrases
- dimension reduction
- multi dimensional
- data analysis
- high dimensional data
- high dimensional
- cluster analysis
- multi dimensional data
- data mining and machine learning
- high dimensional problems
- low dimensional
- principal component analysis
- random projections
- variable selection
- singular value decomposition
- feature extraction
- data mining
- high dimensional data analysis
- feature selection
- linear discriminant analysis
- unsupervised learning
- feature space
- machine learning
- discriminative information
- preprocessing
- data cube
- manifold learning
- high dimensionality
- partial least squares
- dimensionality reduction
- knowledge discovery
- life sciences
- qr decomposition
- manifold embedding
- data sets
- computer vision
- data points
- sparse representation
- input data