Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data.
Sigurd LøkseFilippo Maria BianchiArnt-Børre SalbergRobert JenssenPublished in: SCIA (1) (2017)
Keyphrases
- spectral clustering
- incomplete data
- normalized cut
- data clustering
- bayesian networks
- clustering algorithm
- kernel pca
- evolutionary clustering
- clustering quality
- similarity matrix
- learning bayesian networks
- constrained clustering
- missing values
- affinity matrix
- missing data
- graph laplacian
- k means
- laplacian matrix
- clustering method
- pairwise
- em algorithm
- incomplete data sets
- probabilistic model
- eigendecomposition
- similarity graph
- constrained spectral clustering
- generative model
- image segmentation
- cluster analysis
- kernel methods
- spectral methods
- graph partitioning
- graph kernels
- feature space
- unsupervised learning
- subspace clustering
- feature vectors
- training set
- object recognition
- support vector