Unsupervised feature extraction using a learned graph with clustering structure.
Wenzhang ZhugeChenping HouFeiping NieDongyun YiPublished in: ICPR (2016)
Keyphrases
- feature extraction
- graph structure
- unsupervised manner
- unsupervised learning
- graph theoretic
- graph representation
- clustering algorithm
- unsupervised feature selection
- graph clustering
- normalized cut
- unsupervised classification
- supervised learning
- dependency graph
- k means
- agglomerative clustering
- hierarchical clustering
- graph construction
- tree shaped
- fuzzy clustering
- image classification
- image processing
- supervised classification
- feature selection
- data clustering
- document clustering
- network structure
- graph structures
- structured data
- random walk
- preprocessing
- graph properties