Dimensionality Reduction of Clustered Data Sets.
Guido SanguinettiPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2008)
Keyphrases
- dimensionality reduction
- data sets
- high dimensional data
- dimensionality reduction methods
- principal component analysis
- low dimensional
- high dimensional
- high dimensionality
- feature selection
- pattern recognition
- data representation
- feature extraction
- synthetic data
- structure preserving
- random projections
- preprocessing step
- training data
- real world data sets
- nonlinear dimensionality reduction
- graph embedding
- computer vision
- benchmark data sets
- principal components
- data points
- feature space
- real world
- dimension reduction
- database
- neural network
- nearest neighbor
- lower dimensional
- data sources
- intrinsic dimensionality
- supervised dimensionality reduction