Kernel Spectral Curvature Clustering (KSCC)
Guangliang ChenStefan AtevGilad LermanPublished in: CoRR (2009)
Keyphrases
- normalized cut
- clustering algorithm
- k means
- clustering method
- spectral clustering
- data clustering
- unsupervised learning
- kernel function
- kernel methods
- self organizing maps
- spectral methods
- similarity function
- support vector
- outlier detection
- information theoretic
- cluster analysis
- high dimensional data
- document clustering
- pairwise
- feature space
- hierarchical clustering
- graph partitioning
- feature extraction
- reproducing kernel hilbert space
- spectral analysis
- machine learning