Random subspace and random projection nearest neighbor ensembles for high dimensional data.
Sampath DeegallaKeerthi WalgamaPanagiotis PapapetrouHenrik BoströmPublished in: Expert Syst. Appl. (2022)
Keyphrases
- high dimensional data
- random projections
- nearest neighbor
- dimension reduction
- original data
- ensemble methods
- sparse representation
- high dimensionality
- subspace methods
- dimensionality reduction
- random sampling
- lower dimensional
- high dimensional
- base classifiers
- linear discriminant analysis
- k nearest neighbor
- low dimensional
- knn
- training set
- similarity search
- data points
- decision trees
- subspace clustering
- data distribution
- random forest
- distance function
- input space
- image reconstruction
- index structure
- sample size
- principal component analysis
- document clustering
- sliding window
- active learning
- feature extraction
- subspace learning
- data sets