Planar Arrangement of High-Dimensional Biomedical Data Sets by Isomap Coordinates.
Ik Soo LimPablo de Heras CiechomskiSofiane SarniDaniel ThalmannPublished in: CBMS (2003)
Keyphrases
- high dimensional
- data sets
- high dimensional data
- low dimensional
- dimension reduction
- dimensionality reduction
- manifold learning
- high dimensional data sets
- nonlinear dimensionality reduction
- gene expression data
- microarray data
- locally linear embedding
- dimensional data
- similarity search
- high dimensionality
- low dimensionality
- nearest neighbor
- nearest neighbor search
- data points
- biomedical data
- dimensionality reduction methods
- high dimensional feature spaces
- linear dimensionality reduction
- feature mapping
- information extraction
- training set
- feature space
- pattern classification
- ground plane
- principal component analysis
- multidimensional scaling
- data analysis
- categorical attributes
- machine learning
- feature selection
- training data
- support vector
- data streams
- laplacian eigenmaps
- high dimensional spaces
- text mining
- input space
- multi dimensional