2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements.
Witold DzwinelRafal WcisloStan MatwinPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- nonlinear dimensionality reduction
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensions
- data sets
- low dimensional structure
- subspace clustering
- data distribution
- high dimensionality
- similarity search
- dimension reduction
- input space
- data points
- data analysis
- vector space
- linear discriminant analysis
- clustering high dimensional data
- original data
- manifold learning
- high dimensional spaces
- lower dimensional
- high dimensional data sets
- high dimensional datasets
- dimensional data
- sparse representation
- low dimensional manifolds
- neural network
- locally linear embedding
- machine learning
- input data