High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis.
Jong Youl ChoiSeung-Hee BaeXiaohong QiuGeoffrey C. FoxPublished in: CCGRID (2010)
Keyphrases
- dimension reduction
- high dimensional data analysis
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- variable selection
- random projections
- partial least squares
- feature selection
- manifold learning
- preprocessing step
- singular value decomposition
- data analysis
- high dimensional data
- feature space
- discriminative information
- linear discriminant analysis
- high dimensionality
- dimensionality reduction
- unsupervised learning
- face recognition
- cluster analysis
- preprocessing
- pattern recognition
- training data
- neural network
- training set
- image processing
- least squares
- support vector machine svm
- data sets