High Dimensional Data Stream Clustering using Topological Representation Learning.
Maha Ben-FaresNistor GrozavuParisa RastinPierre HolatPublished in: SSCI (2022)
Keyphrases
- feature selection
- high dimensional data
- dimensionality reduction
- high dimensionality
- low dimensional
- text classification
- high dimensional
- nearest neighbor
- feature space
- clustering high dimensional data
- learning algorithm
- subspace clustering
- supervised learning
- real world
- data sets
- pattern recognition
- input data
- decision trees
- similarity search
- manifold learning