K-means Method Based on the Approximate Backbone and the Shuffled Frog Leaping Algorithm and Its Application in Fundus Medical Record Images
In order to improve the global search power of the K-means algorithm and the clustering effect, the K-means method based on the approximate backbone and the shuffled frog leaping algorithm is proposed. Firstly, in this method, the classic iterative formula of the K-means algorithm is replaced by the...
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| Main Author: | SUN Ying;ZHANG Yi;DING Weiping;JU Hengrong;REN Longjie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editorial Department of Journal of Nantong University (Natural Science Edition)
2020-06-01
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| Series: | Nantong Daxue xuebao. Ziran kexue ban |
| Subjects: | |
| Online Access: | https://ngzk.cbpt.cnki.net/portal/journal/portal/client/paper/NGZK_1f62a914-812d-4717-8477-0ca32726c814 |
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