Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering.
Junwei HanKai XiongFeiping NiePublished in: IJCAI (2017)
Keyphrases
- graph theoretic
- graph clustering
- clustering algorithm
- graph partitioning
- clustering method
- graph theory
- k means
- nonnegative matrix factorization
- matrix factorisation
- hierarchical clustering
- data clustering
- image reconstruction
- small scale
- three dimensional
- linear programming
- random walk
- weighted graph
- graph structure
- cluster analysis
- graph model
- graph matching
- unsupervised learning
- fuzzy clustering
- spectral clustering
- normalized cut
- similarity matrix
- similarity function
- reconstruction process
- cluster structure
- spectral methods
- tensor factorization
- partitioning algorithm