Graph Based Kernel k-Means Using Representative Data Points as Initial Centers.
Wuyi YangLiguo TangPublished in: ICIC (1) (2015)
Keyphrases
- data points
- k means
- cluster centers
- normalized cut
- sufficient statistics
- feature space
- input space
- clustering algorithm
- nearest neighbor
- spectral clustering
- high dimensional data
- data distribution
- support vector
- hierarchical clustering
- neural network
- data clustering
- kernel methods
- low dimensional
- dimensionality reduction
- image segmentation
- distance function
- clustering method
- high dimensional
- unsupervised clustering
- kernel machines
- initial cluster centers
- convolution kernel
- squared euclidean distance
- kernel based clustering
- clustering approaches
- cluster analysis
- input data
- semi supervised
- feature selection