Topology Preserving Data Reduction for Computing Persistent Homology.
Nicholas O. MalottAaron M. SensPhilip A. WilseyPublished in: IEEE BigData (2020)
Keyphrases
- data reduction
- topology preserving
- persistent homology
- data compression
- binary images
- competitive learning
- self organizing maps
- level set method
- knowledge discovery
- preprocessing
- data analysis
- model selection
- classification rules
- thinning algorithm
- deformation field
- classification accuracy
- topological features
- feature selection
- data mining
- computational geometry
- neural network
- rough set theory
- delaunay triangulation
- dimensionality reduction
- clustering algorithm
- singular value decomposition
- unsupervised learning
- computer vision
- image quality
- supervised learning