Fast Robust Correlation for High-Dimensional Data.
Jakob RaymaekersPeter J. RousseeuwPublished in: Technometrics (2021)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensionality
- data sets
- nearest neighbor
- subspace clustering
- similarity search
- manifold learning
- data points
- high dimensions
- data analysis
- original data
- complex data
- dimension reduction
- clustering high dimensional data
- linear discriminant analysis
- data distribution
- low rank
- high dimensional spaces
- subspace learning
- text data
- lower dimensional
- nonlinear dimensionality reduction
- input space
- input data
- sparse representation
- variable selection
- high dimensional datasets
- real world
- feature extraction
- face recognition
- training set
- dimensional data
- small sample size
- high dimensional data sets
- high dimensional feature spaces
- neural network