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A Dissimilarity Measurement Method for Hierarchy Variable with Different Structures

In: Liss 2012

Author

Listed:
  • Zhao XiuLi

    (Shandong Polytechnic University
    Beijing Jiaotong University)

Abstract

A hierarchy structure of variable is a regular form to arrange qualitative attributes, a tree with certain properties. In clustering analysis it is a difficult work to calculate the dissimilarity degree between any two qualitative attributes in a hierarchy tree. Some dissimilarity metric methods have been proposed to solve this problem but they don’t involve the same qualitative attributes with different hierarchy structures. A dissimilarity metric method for this type is proposed in this paper which can reflect the influence of different structures. Moreover, dissimilarity metric for the hybrid variables including several traditional types and one hierarchy type is designed, and a clustering algorithm based on this metric is implemented.

Suggested Citation

  • Zhao XiuLi, 2013. "A Dissimilarity Measurement Method for Hierarchy Variable with Different Structures," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 1157-1162, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_163
    DOI: 10.1007/978-3-642-32054-5_163
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