A performance enhanced distributed computing framework for clustering by local direction centrality upon Apache Spark
Clustering by local direction centrality (CDC) is a newly proposed versatile algorithm adept at identifying clusters with heterogeneous density and weak connectivity. Its advantages in accuracy and robustness have been widely validated in computer science, bioscience, and geoscience. However, it has...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2025.2529639 |
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