A clustering algorithm based on grids for core data and adjacency relationships for edge data
Abstract Grid-based clustering algorithms have become a crucial method in the field of data mining due to their efficiency. However, they face challenges such as parameter sensitivity, poor adaptability to density variations, and misclassification of edge data. To address these issues, existing rese...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00532-2 |
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