JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (5): 48-55.

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OPHCLUS:An order-preserving based hierarchical clustering algorithm

LEI Xiao-feng1, ZHUANG Wei1, CHENG Yu1, DING Shi-fei1, XIE Kun-qing2   

  1. 1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221008, China;
    2. Department of Intelligence Science/National Laboratory on Machine Perception, Peking University, Beijing 100871, China
  • Received:2010-03-01 Online:2010-10-16 Published:2010-03-01

Abstract:

The idea of maintaining order relation was proposed, i.e.,the original order of distance between samples should be preserved by the inter-cluster measurement of hierarchical clustering as far as possible. Based on this idea, we defined the notion of order relation of sample’s pair and the loss measurement of order relation, which could be used as the objective criteria function of clustering and the validity standard of consequent clusters. Furthermore, we extended two kinds of distance measurement from the loss of order relation, i.e.,inter-cluster adjusted distance and inter-cluster 0-1 weighted distance; implemented an order-preserving based hierarchical clustering algorithm by using these two measurements. The experiment simulation demonstrated the improvement in the clustering quality.
 

Key words: hierarchical clustering algorithm, maintenance of order relation, inter-cluster adjusted distance, inter-cluster 0-1 weighted distance

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