Enhancing Crime Prediction UsingK-Means withPSO

Enhancing Crime Prediction UsingK-Means withPSO

Crime, Prediction K-Means, PSO

The effects of social media and modern approaches help offenders to achieve their crimes. This paper exploresmachine learning architectureto predict criminal crime cases by classifyingeach type of crime using K-Means which is optimized with PSO from the data the researcher got in the past mas. The clustering parameters use medium, light,and severe crimecategories, each of them gets medium = 74, light = 46, and weight = 30. According to the experimental result,K-Means optimization with PSO can produce0,12287 which usesSSE parameters while k-means performance gets results 0.885.

Ulumuddin

https://ijicom.respati.ac.id/index.php/ijicom/article/view/68/72

2025

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