Structured graph optimization for joint spectral embedding and clustering.
Xiaojun YangSiyuan LiKe LiangFeiping NieLiang LinPublished in: Neurocomputing (2022)
Keyphrases
- spectral embedding
- semi supervised clustering
- spectral methods
- graph model
- cluster structure
- feature representation
- clustering method
- clustering algorithm
- graph partitioning
- structured data
- random walk
- spectral clustering
- k means
- graph clustering
- unsupervised clustering
- spectral analysis
- cue integration
- min cut
- cluster analysis
- directed graph
- data clustering
- normalized cut
- semi supervised learning
- face recognition
- semi supervised classification
- semi supervised
- background knowledge
- data points
- pairwise constraints
- unsupervised learning
- global optimization
- similarity matrix
- spanning tree
- feature set
- low dimensional
- kernel machines
- data mining applications
- document clustering
- image segmentation