The Subspace Voyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces.
Bing WangKlaus MuellerPublished in: IEEE Trans. Vis. Comput. Graph. (2018)
Keyphrases
- high dimensional data
- low dimensional
- subspace clustering
- dimensionality reduction
- high dimensional
- lower dimensional
- clustering high dimensional data
- high dimensionality
- nearest neighbor
- high dimensions
- similarity search
- data sets
- data points
- data analysis
- high dimensional feature spaces
- subspace clusters
- dimension reduction
- low rank
- linear subspace
- manifold learning
- input space
- principal component analysis
- dimensional data
- subspace learning
- subspace clustering algorithms
- high dimensional data sets
- nonlinear dimensionality reduction
- original data
- low dimensional structure
- high dimensional spaces
- data mining
- linear discriminant analysis
- training set
- learning algorithm
- feature selection
- pattern recognition
- small sample size
- feature space
- input data
- database
- input image