Post-Processing of High-Dimensional Data.
Mike EspigWolfgang HackbuschAlexander LitvinenkoHermann G. MatthiesElmar ZanderPublished in: CoRR (2019)
Keyphrases
- post processing
- high dimensional data
- dimensionality reduction
- high dimensional
- nearest neighbor
- preprocessing
- low dimensional
- high dimensions
- high dimensionality
- data sets
- similarity search
- data points
- data analysis
- subspace clustering
- original data
- sparse representation
- dimension reduction
- manifold learning
- missing values
- clustering high dimensional data
- linear discriminant analysis
- filtering method
- high dimensional spaces
- high dimensional datasets
- nonlinear dimensionality reduction
- data structure
- preprocessing step
- feature space
- data streams
- post processed