Sparse and Functional Principal Components Analysis.
Genevera I. AllenMichael WeylandtPublished in: DSW (2019)
Keyphrases
- principal components analysis
- covariance matrix
- text categorisation
- principal components
- exploratory data analysis
- dimensionality reduction
- support vector machine
- linear discriminant analysis
- sparse data
- feature extraction
- compressive sensing
- neural network
- high dimensional
- multivariate statistical analysis
- hand geometry
- compressed sensing
- sparse representation
- principal component analysis
- computational complexity
- dimensionality reduction methods
- sparse coding
- knowledge discovery