Semi-supervised dimensionality reduction for analyzing high-dimensional data with constraints.
Su YanSofien BouazizDongwon LeeJesse L. BarlowPublished in: Neurocomputing (2012)
Keyphrases
- high dimensional data
- dimensionality reduction
- semi supervised dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- data points
- subspace clustering
- high dimensionality
- data sets
- data analysis
- dimension reduction
- data distribution
- manifold learning
- similarity search
- principal component analysis
- subspace learning
- high dimensional datasets
- sparse representation
- linear discriminant analysis
- dimensional data
- clustering high dimensional data
- data representation
- high dimensional spaces
- image processing
- high dimensional data sets
- multi dimensional
- semi supervised
- graph embedding
- feature selection