Feature space dimensionality reduction for the optimization of visualization methods.
Andreea GriparisDaniela FaurMihai DatcuPublished in: IGARSS (2015)
Keyphrases
- dimensionality reduction
- feature space
- visualization methods
- high dimensional
- principal component analysis
- high dimensionality
- multivariate data
- low dimensional
- principal components
- feature selection
- linear discriminant analysis
- feature extraction
- interactive visualization
- kernel pca
- data visualization
- data mining methods
- data points
- high dimensional data
- trend detection
- feature vectors
- self organizing maps
- visualization tools
- pattern recognition
- image retrieval
- support vector
- face recognition
- computer vision
- machine learning