Theoretically-Efficient and Practical Parallel DBSCAN
© 2020 Association for Computing Machinery. The DBSCAN method for spatial clustering has received significant attention due to its applicability in a variety of data analysis tasks. There are fast sequential algorithms for DBSCAN in Euclidean space that take O(nłog n) work for two dimensions, sub-qu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM
2021
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| Online Access: | https://hdl.handle.net/1721.1/136631 |
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