Fast Approximate Hubness Reduction for Large High-Dimensional Data.
Roman FeldbauerMaximilian LeodolterClaudia PlantArthur FlexerPublished in: ICBK (2018)
Keyphrases
- high dimensional data
- high dimensional spaces
- nearest neighbor
- high dimensions
- high dimensional
- low dimensional
- dimensionality reduction
- data sets
- similarity search
- high dimensionality
- data points
- subspace clustering
- data analysis
- dimension reduction
- dimensional data
- input space
- clustering high dimensional data
- high dimensional datasets
- nonlinear dimensionality reduction
- original data
- complex data
- manifold learning
- sparse representation
- variable selection
- linear discriminant analysis
- input data
- decision trees
- text data
- lower dimensional
- nearest neighbor search
- data distribution
- locally linear embedding
- knn