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Classifying Categorical Data Based on Adoptive Hamming Distance

Jae-Sung LEE, Dae-Won KIM

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Summary :

In this paper, we improve the classification performance of categorical data using an Adoptive Hamming Distance. We defined the equivalent categorical values and showed how those categorical values were searched to adopt the distance. The effectiveness of the proposed method was demonstrated using various classification examples.

Publication
IEICE TRANSACTIONS on Information Vol.E93-D No.1 pp.189-192
Publication Date
2010/01/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E93.D.189
Type of Manuscript
LETTER
Category
Data Mining

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