Semi-supervised clustering of graph objects: A subgraph mining approach

Keyphrases

• Semi-supervised Clustering 100%
• Subgraph Mining 100%
• Selection Strategy 60%
• Feature Selection 60%
• Data Objects 40%
• Cluster Performance 40%
• Vector Space 40%
• Subgraph Feature 40%
• Discriminative Graph 40%
• Complex Chemicals 20%
• Clustering Methods 20%
• Complex Proteins 20%
• Unsupervised Learning 20%
• Function-based 20%
• Redundancy 20%
• Supervision Information 20%
• Pairwise Constraints 20%
• Complex Structure 20%
• Clustering Process 20%
• K-means 20%
• Chemical Compounds 20%
• Text Data 20%
• Mining Method 20%
• Relational Data 20%
• Graph Pattern 20%
• Feature Clustering 20%
• Branch-and-bound Algorithm 20%
• Constraint Information 20%
• Feature Mining 20%
• Space-time Data 20%
• Redundancy Index 20%
• Protein Compounds 20%
• Semi-supervised Kernel 20%

Computer Science

• Supervised Clustering 100%
• Subgraphs 100%
• Selection Process 60%
• Feature Selection 40%
• Feature Extraction 40%
• Objective Function 40%
• Experimental Result 20%
• Clustering Method 20%
• Relational Data 20%
• clustering process 20%
• Complex Structure 20%
• Branch-and-Bound Algorithm 20%
• Mining Process 20%
• Semisupervised Kernel 20%