KM-FCM: A fuzzy clustering optimization algorithm based on Mahalanobis distance
The traditional fuzzy clustering algorithm uses Euclidean distance as the similarity criterion, which is disadvantageous to the multidimensional data processing. In order to solve this situation, Mahalanobis distance is used instead of the traditional Euclidean distance, and the optimization of fuzz...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Hebei University of Science and Technology
2018-04-01
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| Series: | Journal of Hebei University of Science and Technology |
| Subjects: | |
| Online Access: | http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201802010&flag=1&journal_ |