Cluster-based Data Reduction for Persistent Homology.
Anindya MoitraNicholas O. MalottPhilip A. WilseyPublished in: IEEE BigData (2018)
Keyphrases
- data reduction
- persistent homology
- topological features
- data compression
- morse theory
- computational geometry
- preprocessing
- data analysis
- knowledge discovery
- classification accuracy
- classification rules
- data mining
- model selection
- feature selection
- rough set theory
- singular value decomposition
- representative subset
- high dimensionality
- dimensionality reduction
- machine learning
- data quality
- learning algorithm