Spectral clustering algorithm combining local covariance matrix with normalization.
Tingting DuGuoqiu WenZhiguo CaiWei ZhengMalong TanYangding LiPublished in: Neural Comput. Appl. (2020)
Keyphrases
- covariance matrix
- clustering algorithm
- covariance matrices
- sample size
- gaussian mixture
- principal component analysis
- mahalanobis distance
- geometrical interpretation
- laplacian matrix
- pseudo inverse
- positive definite
- eigendecomposition
- objective function
- eigenvalues and eigenvectors
- normalized cut
- transformation matrix
- spectral analysis
- spectral methods
- image processing
- estimation error
- multivariate gaussian
- cma es
- principal components
- clustering method
- dimensionality reduction