Self-representation based dual-graph regularized feature selection clustering.
Ronghua ShangZhu ZhangLicheng JiaoChiyang LiuYangyang LiPublished in: Neurocomputing (2016)
Keyphrases
- feature selection
- graph representation
- graph theoretic
- graph clustering
- unsupervised learning
- graph classification
- clustering method
- unsupervised feature selection
- clustering algorithm
- directed graph
- text categorization
- data clustering
- high dimensionality
- vector representation
- graphical representation
- graph theory
- machine learning
- solution path
- graph partitioning
- multi class
- least squares
- mutual information
- random walk
- pairwise
- topological information
- support vector machine
- regularization framework
- graph construction
- image representation
- cluster analysis
- image segmentation
- objective function
- structured data
- graph model
- weighted graph
- information theoretic
- graph matching