Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering.
Guoqiu WenYonghua ZhuLinjun ChenMengmeng ZhanYangcai XiePublished in: Comput. J. (2021)
Keyphrases
- spectral clustering
- high dimensional
- kernel pca
- data clustering
- clustering method
- k means
- constrained spectral clustering
- graph laplacian
- normalized cut
- pairwise
- laplacian matrix
- affinity matrix
- pairwise constraints
- feature space
- computer vision
- evolutionary clustering
- image processing
- clustering algorithm
- similarity matrix
- graph cuts
- graph structure
- metric space
- data points
- mean shift
- high dimensional data
- dimensionality reduction