Incremental Learning with Self-labeling of Incoming High-dimensional Data.
Farzana AnowarSamira SadaouiPublished in: Canadian Conference on AI (2021)
Keyphrases
- incremental learning
- high dimensional data
- nearest neighbor
- low dimensional
- subspace clustering
- high dimensional
- high dimensionality
- dimensionality reduction
- high dimensions
- data sets
- data analysis
- data points
- incremental learning algorithm
- similarity search
- input data
- data distribution
- fuzzy artmap
- text data
- dimension reduction
- nonlinear dimensionality reduction
- active learning
- manifold learning
- input space
- linear discriminant analysis
- learning process
- lower dimensional
- dimensional data
- high dimensional spaces
- batch mode
- high dimensional data sets
- supervised learning
- high dimensional datasets
- semi supervised
- feature space
- database