The minimum weighted covariance determinant estimator for high-dimensional data.
Jan KalinaJan TichavskýPublished in: Adv. Data Anal. Classif. (2022)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- data sets
- high dimensionality
- high dimensions
- similarity search
- original data
- subspace clustering
- data analysis
- manifold learning
- data points
- high dimensional spaces
- dimension reduction
- least squares
- clustering high dimensional data
- input space
- linear discriminant analysis
- dimensional data
- maximum likelihood
- subspace learning
- data distribution
- small sample size
- high dimensional data sets
- variable selection
- lower dimensional
- high dimensional datasets
- nonlinear dimensionality reduction
- data mining
- input data
- feature space
- database