The Subspace Voyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces.
Bing WangKlaus MuellerPublished in: CoRR (2016)
Keyphrases
- high dimensional data
- low dimensional
- subspace clustering
- high dimensional
- dimensionality reduction
- lower dimensional
- clustering high dimensional data
- high dimensionality
- high dimensions
- data sets
- data points
- nearest neighbor
- subspace clusters
- original data
- dimension reduction
- low rank
- data analysis
- similarity search
- manifold learning
- linear subspace
- high dimensional datasets
- input space
- sparse representation
- linear discriminant analysis
- text data
- high dimensional spaces
- subspace learning
- high dimensional data sets
- dimensional data
- nonlinear dimensionality reduction
- small sample size
- subspace clustering algorithms
- pattern recognition
- discriminant analysis
- principal component analysis
- feature space
- low rank representation
- image processing
- low dimensional structure
- real world