A hierarchical clustering method for attribute discretization in rough set theory
Meng-Xin Li; Cheng-Dong Wu; Zhong-Hua Han; Yong Yue
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Volume 6, Issue , 26-29 Aug. 2004 Page(s): 3650 - 3654 vol.6
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Summary: In this paper, hierarchical clustering is introduced. The method can determine automatically the significant clusters in a hierarchical cluster representation. It could choose best classes for discretization by scatter plots of several statistics primarily. Moreover we can extract the clusters from dendrograms that contain essentially the same information, which shows the two discretization results are consistent. By comparison among several cluster algorithms with the defect inspection of wood veneer, hierarchical clustering discretization method is typically more effective and advisable.

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