Approximate Calculation of Tukey's Depth and Median With High-dimensional Data.
Milica BogicevicMilan MerklePublished in: CoRR (2018)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensional
- data sets
- high dimensions
- high dimensionality
- original data
- subspace clustering
- similarity search
- data analysis
- dimension reduction
- data points
- data distribution
- clustering high dimensional data
- linear discriminant analysis
- sparse representation
- manifold learning
- complex data
- lower dimensional
- input space
- high dimensional spaces
- high dimensional datasets
- nonlinear dimensionality reduction
- machine learning
- input data
- dimensional data
- small sample size
- feature vectors
- high dimensional feature spaces