A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction.
Guillaume HuguetAlexander TongEdward De BrouwerYanlei ZhangGuy WolfIan AdelsteinSmita KrishnaswamyPublished in: NeurIPS (2023)
Keyphrases
- dimensionality reduction
- heat diffusion
- high dimensional
- principal component analysis
- dimensionality reduction methods
- data points
- feature extraction
- low dimensional
- high dimensional data
- data representation
- feature space
- high dimensionality
- viewpoint
- structure preserving
- nonlinear dimensionality reduction
- principal components
- pattern recognition and machine learning
- pattern recognition
- neural network
- linear projection
- linear dimensionality reduction
- kernel pca
- kernel learning
- lower dimensional
- metric learning
- manifold learning