Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.
Dhananjay BhaskarKincaid MacDonaldOluwadamilola FasinaDawson ThomasBastian RieckIan AdelsteinSmita KrishnaswamyPublished in: NeurIPS (2022)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensional
- subspace clustering
- high dimensionality
- data sets
- high dimensions
- data points
- similarity search
- data analysis
- data distribution
- clustering high dimensional data
- dimension reduction
- manifold learning
- variable selection
- nonlinear dimensionality reduction
- dimensional data
- high dimensional datasets
- original data
- input space
- lower dimensional
- subspace learning
- small sample size
- feature space
- support vector
- feature selection
- high dimensional data sets
- learning algorithm