CGC: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering

Keyphrases

• Automatically Identify 25%
• Benchmark Dataset 25%
• Biological Interaction Networks 25%
• Cluster Performance 25%
• Cluster-based 25%
• Clustering Results 25%
• Clustering Structure 25%
• Cross-domain 100%
• Domain Graph 100%
• Efficient Optimization 25%
• Flexible Approach 100%
• Global Optimal Solution 25%
• Graph Clustering 100%
• Graph Clustering Algorithms 25%
• Graph Partitioning 25%
• Heterogeneous Information 25%
• Many-to-many 25%
• Multi-domain 100%
• Multiple Instances 25%
• Non-negative Matrix Factorization 25%
• One-to-one Relationship 25%
• Optimization Methods 25%
• Partial Knowledge 25%
• Real-world Application 25%
• Robust Approach 100%
• Small Weight 25%
• Weight-based 25%

Computer Science

• Clustering Graph 100%
• Clustering Result 25%
• Clustering Structure 25%
• Data Instance 50%
• Experimental Result 25%
• Graph Clustering Method 25%
• Graph Partition 25%
• Multiple Instance 25%
• nonnegative matrix factorization 25%
• Robust Approach 100%