Particulate flows with the subspace projection method.
Rodolphe PrignitzEberhard BänschPublished in: J. Comput. Phys. (2014)
Keyphrases
- projection method
- linear projection
- harmonic functions
- principal component analysis
- low dimensional
- subspace learning
- high dimensional
- dimensionality reduction
- subspace clustering
- kernel based nonlinear
- principal components
- lower dimensional
- neural network
- clustering high dimensional data
- subspace analysis
- null space
- high dimensional data
- feature extraction
- dimension reduction
- nearest neighbor
- input data
- subspace clusters
- subspace methods
- principal components analysis
- covariance matrix
- covariance matrices
- mathematical models