Learning semantic cluster for image retrieval using association rule hypergraph partitioning
Lijuan Duan, Yiqiang Chen, Wen Gao · 2003
Semantic clustering is an important and challenging task for content-based image database management. This paper proposes a semantic clustering learning technique, which collects the relevance feedback image retrieval transaction and uses hypergraph to represent images correlation ship, then obtains the semantic clusters by hypergraph partitioning. Experiments show that it is efficient and simple.