Quantum granular-ball generation methods and their application in KNN classification
Abstract Granular-balls reduce the data volume and enhance the efficiency of fundamental algorithms such as clustering and classification. However, generating granular-balls is a time-consuming process, posing a significant bottleneck for the practical application of granular-balls. In this paper, w...
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| Main Authors: | Suzhen Yuan, Xiaojiang Tian, Wenping Lin, Shuyin Xia, Jeremiah D. Deng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-14724-3 |
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