IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations.
Lukas Silvester BarthFatemeh FahimiParvaneh JoharinadJürgen JostJanis KeckPublished in: CoRR (2024)
Keyphrases
- manifold learning
- data visualization
- low dimensional
- dimensionality reduction
- visual data mining
- nonlinear dimensionality reduction
- data analysis
- high dimensional
- semi supervised
- information visualization
- nonlinear manifold learning
- high dimensional data
- data mining
- feature extraction
- big data
- knowledge discovery
- dimension reduction
- diffusion maps
- feature space
- manifold structure
- manifold embedding
- laplacian eigenmaps
- database
- parallel coordinates
- geodesic distance
- low dimensional manifolds
- sparse representation
- knn
- active learning
- feature selection
- social networks
- neural network