Machine learning for global trade analysis: a hybrid clustering approach using DBSCAN, elbow, and SOM
- DOI
- 10.11591/ijai.v14.i4.pp3033-3046
- Published
- 2025-08-01
- Container
- IAES International Journal of Artificial Intelligence (IJ-AI)
- Publisher
- Institute of Advanced Engineering and Science
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.11591/ijai.v14.i4.pp3033-3046,
title = {Machine learning for global trade analysis: a hybrid clustering approach using DBSCAN, elbow, and SOM},
author = {Musdalifa Thamrin and Ida Mulyadi and I Dewa Made Widia and Muhammad Faisal and Suardi Hi Baharuddin and Medy Wismu Prihatmono and Nurdiansyah Nurdiansyah and Nasir Usman},
year = {2025},
journal = {IAES International Journal of Artificial Intelligence (IJ-AI)},
doi = {10.11591/ijai.v14.i4.pp3033-3046},
url = {https://doi.org/10.11591/ijai.v14.i4.pp3033-3046}
}RIS
TY - JOUR TI - Machine learning for global trade analysis: a hybrid clustering approach using DBSCAN, elbow, and SOM AU - Musdalifa Thamrin AU - Ida Mulyadi AU - I Dewa Made Widia AU - Muhammad Faisal AU - Suardi Hi Baharuddin AU - Medy Wismu Prihatmono AU - Nurdiansyah Nurdiansyah AU - Nasir Usman PY - 2025 JO - IAES International Journal of Artificial Intelligence (IJ-AI) DO - 10.11591/ijai.v14.i4.pp3033-3046 UR - https://doi.org/10.11591/ijai.v14.i4.pp3033-3046 ER -
APA
Thamrin, M., Mulyadi, I., Widia, I. D. M., Faisal, M., Baharuddin, S. H., Prihatmono, M. W., Nurdiansyah, N., & Usman, N. (2025). Machine learning for global trade analysis: a hybrid clustering approach using DBSCAN, elbow, and SOM. IAES International Journal of Artificial Intelligence (IJ-AI). https://doi.org/10.11591/ijai.v14.i4.pp3033-3046
Source records
- crossref · retrieved 2026-09-26T02:11:19.312Z