Iterative algorithms for the post-processing of high-dimensional data.
Mike EspigWolfgang HackbuschAlexander LitvinenkoHermann G. MatthiesElmar ZanderPublished in: J. Comput. Phys. (2020)
Keyphrases
- post processing
- high dimensional data
- iterative algorithms
- dimensionality reduction
- nearest neighbor
- preprocessing
- high dimensional
- low dimensional
- high dimensionality
- subspace clustering
- data sets
- original data
- similarity search
- dimension reduction
- input space
- data points
- dimensional data
- manifold learning
- low rank
- data analysis
- missing values
- high dimensional datasets
- learning algorithm
- input data
- high dimensional data sets
- high dimensional spaces
- principal component analysis
- pattern recognition
- computer vision
- filtering method
- post processed
- clustering high dimensional data
- sparse representation
- preprocessing step
- face recognition
- neural network