Heterogeneous Thin Films: Combining Homogenization and Dimension Reduction with Directors.
Carolin KreisbeckStefan KrömerPublished in: SIAM J. Math. Anal. (2016)
Keyphrases
- dimension reduction
- thin film
- principal component analysis
- feature extraction
- high dimensional
- manifold learning
- high dimensional problems
- high dimensional data
- grain size
- low dimensional
- linear discriminant analysis
- singular value decomposition
- high density
- cluster analysis
- dimensionality reduction
- short circuit
- feature selection
- feature space
- high dimensionality
- multi layer
- preprocessing
- dimension reduction methods
- unsupervised learning
- face recognition
- film thickness
- data analysis
- qr decomposition
- data sets
- plasma etching
- room temperature
- support vector machine
- knowledge discovery
- image segmentation
- image processing
- data mining
- databases