Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data.
Rishi R. VermaNicholas O. MalottPhilip A. WilseyPublished in: IEEE BigData (2021)
Keyphrases
- high dimensional data
- data reduction
- high dimensionality
- data analysis
- dimensionality reduction
- persistent homology
- topological features
- nearest neighbor
- high dimensional
- data compression
- low dimensional
- data sets
- similarity search
- subspace clustering
- classification rules
- data points
- feature selection
- feature vectors
- data mining
- feature extraction
- input data
- singular value decomposition
- feature set
- knowledge discovery
- rough set theory
- clustering algorithm
- feature space
- rough sets
- image segmentation
- knn
- data quality
- classification accuracy
- preprocessing
- machine learning
- pattern recognition