Invariance of principal components under low-dimensional random projection of the data.
Hanchao QiShannon M. HughesPublished in: ICIP (2012)
Keyphrases
- principal components
- low dimensional
- data sets
- high dimensional data
- dimensionality reduction
- training data
- original data
- input data
- high quality
- data points
- data analysis
- principal component analysis
- random projections
- data distribution
- independent components
- knowledge discovery
- neural network
- random samples
- kernel space
- data mining techniques
- high dimensional
- feature space