Semi-supervised clustering guided by pairwise constraints and local density structures

Zhiguo Long, Yang Gao, Hua Meng, Yuxu Chen, Hui Kou

Abstract: Highlights•Cluster conflict resolution steps are designed to improve the purity of local trees.•E2CP algorithm is integrated to improve the similarity measure between local trees.•The effectiveness of the proposed algorithm is verified on both real-world and complex data sets.