Trustworthy dimension reduction for visualization different data sets.
Safa A. NajimIk Soo LimPublished in: Inf. Sci. (2014)
Keyphrases
- dimension reduction
- data sets
- high dimensional data
- generative topographic mapping
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- high dimensional problems
- data analysis
- linear discriminant analysis
- cluster analysis
- variable selection
- discriminative information
- singular value decomposition
- dimensionality reduction
- data mining and machine learning
- high dimensionality
- feature selection
- random projections
- manifold learning
- feature space
- high dimensional data analysis
- unsupervised learning
- partial least squares
- original data
- real world
- self organizing maps
- dimension reduction methods
- sparse metric learning
- manifold embedding
- training data
- intrinsic dimension
- head pose estimation
- dimensionality reduction methods
- preprocessing
- database
- feature vectors
- input data
- data points