A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction.
Guillaume HuguetAlexander TongEdward De BrouwerYanlei ZhangGuy WolfIan AdelsteinSmita KrishnaswamyPublished in: CoRR (2023)
Keyphrases
- dimensionality reduction
- heat diffusion
- principal component analysis
- high dimensional
- high dimensional data
- structure preserving
- viewpoint
- feature extraction
- euclidean distance
- high dimensionality
- linear discriminant analysis
- manifold learning
- data representation
- pattern recognition and machine learning
- pattern recognition
- low dimensional
- input space
- shortest path
- feature selection
- distance transform
- lower dimensional
- data points
- curvature flow
- support vector
- geodesic distance
- scale space
- feature set