Kernel Spectral Curvature Clustering (KSCC).
Guangliang ChenStefan AtevGilad LermanPublished in: ICCV Workshops (2009)
Keyphrases
- clustering algorithm
- normalized cut
- clustering method
- similarity function
- k means
- spectral clustering
- hierarchical clustering
- kernel function
- multiscale
- unsupervised learning
- information theoretic
- kernel methods
- categorical data
- spectral methods
- high dimensional
- kernel pca
- convolution kernel
- planar curves
- data sets
- multispectral images
- kernel matrix
- class separability
- hyperspectral
- data clustering
- cluster analysis
- outlier detection
- self organizing maps
- anomaly detection
- scale space
- data points
- feature space
- image segmentation