Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.
Dhananjay BhaskarKincaid MacDonaldOluwadamilola FasinaDawson ThomasBastian RieckIan AdelsteinSmita KrishnaswamyPublished in: CoRR (2022)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- subspace clustering
- high dimensionality
- high dimensions
- similarity search
- data sets
- data analysis
- clustering high dimensional data
- data points
- high dimensional datasets
- nonlinear dimensionality reduction
- high dimensional spaces
- lower dimensional
- data distribution
- manifold learning
- original data
- linear discriminant analysis
- dimension reduction
- input space
- dimensional data
- sparse representation
- decision trees
- real world
- neural network
- outlier detection
- training data
- high dimensional data sets