Optimal Sets of Projections of High-Dimensional Data.
Dirk J. LehmannHolger TheiselPublished in: IEEE Trans. Vis. Comput. Graph. (2016)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensionality
- high dimensional
- data sets
- data points
- high dimensions
- subspace clustering
- data analysis
- dimension reduction
- original data
- complex data
- manifold learning
- input space
- high dimensional spaces
- similarity search
- lower dimensional
- text data
- linear discriminant analysis
- data distribution
- sparse representation
- optimal solution
- subspace learning
- high dimensional data sets
- nonlinear dimensionality reduction
- high dimensional datasets
- clustering high dimensional data
- low rank
- feature extraction
- variable weighting
- dimensional data
- variable selection
- pattern recognition
- decision trees