Clustering feature vectors with mixed numerical and categorical attributes
This paper describes a method for finding a fuzzy membership matrix in case of numerical and categorical features. The set of feature vectors with mixed features is mapped to a set of feature vectors with only real valued components with the condition that the new set of vectors has the same proximi...
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| Format: | Article |
| Language: | English |
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Springer
2008-12-01
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| Series: | International Journal of Computational Intelligence Systems |
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| Online Access: | https://www.atlantis-press.com/article/1793.pdf |