A Dissimilarity Measurement Method for Hierarchy Variable with Different Structures

Zhao XiuLi ()
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Zhao XiuLi: Shandong Polytechnic University

A chapter in LISS 2012, 2013, pp 1157-1162 from Springer

Abstract: 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.

Keywords: Dissimilarity metric; Hierarchy variable; Hierarchy structure; Clustering analysis (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_163

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DOI: 10.1007/978-3-642-32054-5_163

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