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  5. Similarity measure exercise for classification trees based on the classification path
 
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Similarity measure exercise for classification trees based on the classification path

Journal
Applied Mathematics and Computational Intelligence (AMCI)
ISSN
2289-1315
Date Issued
2012-12
Author(s)
N. Hasan
Universiti Pendidikan Sultan Idris
M. B. Adam
Universiti Putra Malaysia
N. Mustapha
Universiti Putra Malaysia
M. R. Abu Bakar
Universiti Putra Malaysia
Abstract
Classification tree models are known for their simplicity and efficiency when dealing with domains contain large number of variables and cases. However, a small perturbation in the data, can lead to a very different tree. We introduce a method for measuring similarity between binary classification trees based on the similarity between the classification paths. The trees to be compared are represented in the form of matrices whose entries are in the interval [0,1]. Overlap similarity measure is used to measure the similarity between each pair of path in two trees, and the best matching paths between trees are used to calculate the similarity measure. This method has advantage to measure trees that possess the same structure and leaf nodes but different internal node
Subjects
  • Binary classification...

  • Classification paths

  • Overlap similarity me...

File(s)
Similarity measure exercise for classification trees.pdf (234.18 KB)
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