A Survey of Dimension Reduction Methods for High-dimensional Data Analysis and Visualization.
Daniel EngelLars HüttenbergerBernd HamannPublished in: VLUDS (2011)
Keyphrases
- dimension reduction methods
- dimension reduction
- high dimensional data analysis
- principal component analysis
- high dimensional
- variable selection
- feature extraction
- linear discriminant analysis
- high dimensional data
- low dimensional
- singular value decomposition
- manifold learning
- cluster analysis
- high dimensionality
- dimensionality reduction
- data analysis
- feature selection
- random projections
- unsupervised learning
- feature space
- preprocessing step
- face recognition
- similarity search
- preprocessing
- semi supervised
- support vector
- multimodal data
- supervised dimensionality reduction
- image processing