Hybrid One-Class Ensemble for High-Dimensional Data Classification.
Bartosz KrawczykPublished in: ACIIDS (2) (2016)
Keyphrases
- high dimensional data
- high dimensionality
- regression problems
- dimension reduction
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- data sets
- subspace clustering
- high dimensions
- data analysis
- data points
- training set
- clustering high dimensional data
- pattern recognition
- input space
- dimensional data
- classification accuracy
- small sample size
- data distribution
- sparse representation
- multivariate temporal data
- support vector machine svm
- high dimensional datasets
- feature selection
- nonlinear dimensionality reduction
- feature vectors
- similarity search
- linear discriminant analysis
- feature space
- manifold learning
- high dimensional feature spaces
- decision trees
- high dimensional spaces
- support vector machine
- feature extraction
- dimensionality reduction methods
- text classification
- neural network
- learning algorithm
- database
- lower dimensional
- training data
- variable selection
- support vector
- data streams
- knn