Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization.
Ben-Hui ZhangMaoguo GongJianbin HuangXiaoke MaPublished in: ACM Trans. Knowl. Discov. Data (2021)
Keyphrases
- nonnegative matrix factorization
- graph embedding
- data representation
- heterogeneous information networks
- spectral clustering
- least squares
- negative matrix factorization
- matrix factorization
- document clustering
- dimensionality reduction
- low dimensional
- heterogeneous networks
- semi supervised
- principal component analysis
- subspace learning
- multiple types
- real world
- graph structure
- data sets
- original data
- clustering method
- image representation
- relevance feedback
- data mining