Smoothness of subspace sections of the unit balls of C(Q) and L1.
Alexey R. AlimovI. G. Tsar'kovPublished in: J. Approx. Theory (2021)
Keyphrases
- low dimensional
- cost function
- feature space
- principal component analysis
- dimensionality reduction
- high dimensional data
- principal components
- subspace clustering
- processing units
- machine learning
- high dimensional
- kernel based nonlinear
- database
- clustering high dimensional data
- smoothing parameter
- locality preserving projections
- linear subspace
- prior information
- feature extraction
- genetic algorithm
- neural network