Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses.
Yingfan LiuHong ChengJiangtao CuiPublished in: CoRR (2021)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- high dimensionality
- nearest neighbor
- data sets
- subspace clustering
- high dimensions
- data analysis
- data points
- similarity search
- original data
- dimension reduction
- data distribution
- high dimensional data sets
- high dimensional spaces
- complex data
- manifold learning
- dimensional data
- input data
- lower dimensional
- input space
- nonlinear dimensionality reduction
- linear discriminant analysis
- variable selection
- sparse representation
- training data
- real world
- text data
- database
- principal component analysis
- feature space
- high dimensional feature spaces