A visualization metric for dimensionality reduction.
Flora S. TsaiPublished in: Expert Syst. Appl. (2012)
Keyphrases
- dimensionality reduction
- metric learning
- multidimensional scaling
- euclidean distance
- principal component analysis
- high dimensional data
- high dimensional
- metric space
- feature extraction
- embedding space
- dimensionality reduction methods
- multi dimensional scaling
- high dimensionality
- low dimensional
- structure preserving
- pattern recognition
- nonlinear dimensionality reduction
- feature space
- data analysis
- data visualization
- data representation
- interactive visualization
- feature selection
- euclidean space
- manifold learning
- distance measure
- distance function
- pattern recognition and machine learning
- input space
- linear dimensionality reduction
- pairwise
- sparse representation
- self organizing maps
- visualization tools
- visualization tool
- random projections
- principal components
- kernel learning
- volume rendering
- graph embedding
- data points
- dimension reduction
- computer vision