Service Clustering with Graph Embedding of Heterogeneous Networks.
Yohei MurakamiNarifumi OiKoki OkuboPublished in: WI/IAT (2023)
Keyphrases
- heterogeneous networks
- graph embedding
- heterogeneous information networks
- clustering method
- low dimensional
- discriminant analysis
- k means
- dimensionality reduction
- semi supervised
- data representation
- clustering algorithm
- cluster analysis
- multiple types
- data points
- data sets
- communication networks
- distance metric
- pairwise constraints
- label information
- social networks
- link prediction
- dictionary learning
- subspace learning
- reinforcement learning
- training data