Solving k-Closest Pairs in High-Dimensional Data.
Martin AumüllerMatteo CeccarelloPublished in: SISAP (2023)
Keyphrases
- high dimensional data
- nearest neighbor
- data points
- dimensionality reduction
- low dimensional
- high dimensional
- data sets
- high dimensions
- subspace clustering
- high dimensionality
- dimension reduction
- complex data
- original data
- high dimensional spaces
- data analysis
- similarity search
- sparse representation
- input space
- low rank
- high dimensional datasets
- dimensional data
- high dimensional data sets
- manifold learning
- nonlinear dimensionality reduction
- pairwise
- clustering high dimensional data
- lower dimensional
- linear discriminant analysis
- data distribution
- input data
- text data
- nearest neighbor search
- subspace learning
- neural network
- locally linear embedding
- euclidean distance
- distance function
- machine learning
- high dimensional feature spaces