Develop spatial learning indexing using improved K-means clustering partition(基于改进的K-means聚类分区均匀化空间学习索引)
With the rapid increase of data size, the defects of traditional spatial indexing become more and more apparent. In comparison, learning indexing is based on data distribution. Its volume will not expand with the increase of the amount of data, and can achieve better performance without performing h...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Zhejiang University Press
2024-03-01
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| Series: | Zhejiang Daxue xuebao. Lixue ban |
| Subjects: | |
| Online Access: | https://doi.org/10.3785/j.issn.1008-9497.2024.02.003 |