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

Mathematics

• Semi-supervised Clustering 100%
• Mining 67%
• Subgraph 44%
• Object 36%
• Clustering 25%
• Graph in graph theory 24%
• Feature Selection 24%
• Redundancy 20%
• Protein 18%
• Vector space 15%
• Objective function 14%
• Graph Clustering 14%
• K-means 12%
• Clustering Methods 12%
• Branch and Bound Algorithm 11%
• Performance 10%
• Complex Structure 9%
• Speedup 9%
• Experimental Results 8%
• Text 8%
• Pairwise 7%
• kernel 6%
• Upper bound 5%
• Design 5%
• Demonstrate 5%
• Form 3%

Engineering & Materials Science

• Vector spaces 55%
• Proteins 49%
• Redundancy 45%
• Feature extraction 41%
• Chemical compounds 37%