Semantic Representation With Heterogeneous Information Network Using Matrix Factorization for Clustering in the Internet of Things.
Liang HuYanlei GongYongheng XingFeng WangPublished in: IEEE Access (2019)
Keyphrases
- matrix factorization
- semantic representation
- heterogeneous information networks
- nonnegative matrix factorization
- collaborative filtering
- heterogeneous networks
- natural language
- information networks
- recommender systems
- conceptual graphs
- negative matrix factorization
- factorization methods
- missing data
- k means
- data objects
- clustering algorithm
- spectral clustering
- topic models
- multiple types
- unsupervised learning
- feature extraction
- real world
- random walk
- pairwise
- social networks