GPU-Embedding of kNN-Graph Representing Large and High-Dimensional Data.
Bartosz MinchMateusz NowakRafal WcisloWitold DzwinelPublished in: ICCS (2) (2020)
Keyphrases
- high dimensional data
- knn
- nearest neighbor
- k nearest neighbor
- graph construction
- nonlinear dimensionality reduction
- neighborhood graph
- hierarchical document clustering
- high dimensionality
- similarity search
- distance function
- dimension reduction
- dimensionality reduction
- low dimensional structure
- input space
- text categorization
- high dimensional
- manifold learning
- knn algorithm
- k nearest neighbour
- low dimensional
- high dimensional spaces
- dimensional data
- subspace clustering
- text classification
- data sets
- missing values
- data points
- classification algorithm
- feature selection
- data distribution
- data analysis
- vector space
- support vector machine svm
- weighted graph
- sparse representation
- nearest neighbor search
- index structure
- latent space
- support vector machine
- laplacian eigenmaps
- data mining
- neural network
- decision trees
- metric space
- training set
- input data
- multi dimensional
- image data