Function Preserving Projection for Scalable Exploration of High-Dimensional Data.
Shusen LiuRushil AnirudhJayaraman J. ThiagarajanPeer-Timo BremerPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- nearest neighbor
- high dimensionality
- low dimensional
- subspace clustering
- data points
- data sets
- high dimensions
- data analysis
- dimension reduction
- similarity search
- lower dimensional
- original data
- dimensional data
- complex data
- neural network
- data distribution
- sparse representation
- linear discriminant analysis
- manifold learning
- input space
- text data
- nonlinear dimensionality reduction
- knn
- feature space
- subspace learning
- high dimensional spaces
- high dimensional datasets
- high dimensional feature spaces
- high dimensional data sets
- computer vision
- feature selection
- feature extraction
- input data