A slice tour for finding hollowness in high-dimensional data.
Ursula LaaDianne CookGerman ValenciaPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- data analysis
- high dimensionality
- data sets
- high dimensions
- subspace clustering
- original data
- similarity search
- data distribution
- linear discriminant analysis
- clustering high dimensional data
- high dimensional datasets
- dimension reduction
- input space
- data points
- manifold learning
- high dimensional data sets
- dimensional data
- high dimensional spaces
- lower dimensional
- nonlinear dimensionality reduction
- complex data
- sparse representation
- subspace learning
- pattern recognition
- real world
- small sample size
- high dimensional feature spaces
- neural network