High-dimensional data monitoring using support machines.
Edgard M. Maboudou-TchaoPublished in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- high dimensional
- low dimensional
- data points
- subspace clustering
- high dimensions
- high dimensionality
- data distribution
- data sets
- similarity search
- nonlinear dimensionality reduction
- original data
- dimension reduction
- data analysis
- dimensional data
- high dimensional spaces
- high dimensional data sets
- clustering high dimensional data
- small sample size
- manifold learning
- input space
- complex data
- lower dimensional
- high dimensional datasets
- variable weighting
- locally linear embedding
- subspace learning
- linear discriminant analysis
- detection algorithm
- semi supervised
- high dimensional feature spaces
- feature space
- real world