Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting.
Shian-Chang HuangPublished in: Appl. Math. Comput. (2011)
Keyphrases
- spectral clustering
- kernel pca
- partial least squares
- normalized cut
- graph laplacian
- clustering method
- data clustering
- pairwise
- constrained spectral clustering
- similarity matrix
- image segmentation
- clustering algorithm
- k means
- eigendecomposition
- laplacian matrix
- discriminant analysis
- affinity matrix
- graph partitioning
- probabilistic model
- support vector
- graph kernels
- kernel methods
- kernel function
- support vector machine
- learning algorithm