Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security
This study investigates how spatially constrained clustering can reveal actionable crime patterns to support public security planning. Using neighbourhood–level crime records for Recife, Brazil (2007–2015), we present new versions of two established methods —Ward&...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11077159/ |
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