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Enhancing Clustering Algorithm with Initial Centroids in Tool Wear Region Recognition
저자
Nur Adilla kasim, M. Z. Nuawi, J. A. Ghani, Muhammad Rizal, N. A. Ngatiman, C. H. C. Haron
학술지명
International Journal of Precision Engineering and Manufacturing
출판/발행연도
2021
주제
요약
본 연구는 공구 마모 영역 인식에서 초기 중심점 설정을 개선한 Fixum K-means 클러스터링 알고리즘을 제안합니다. 기존 K-means 알고리즘의 민감성을 해결하기 위해 K 값 재설정 및 새로운 초기 중심점 계산 방식을 도입하여 공구 마모 상태를 정확하고 빠르게 분류합니다. 실험 결과, 제안된 F-Km 알고리즘은 기존 K-means 및 K-means++ 알고리즘보다 높은 정확도, 강도 및 수렴 속도를 보였습니다.
학술지 영향력
[International Journal of Precision Engineering and Manufacturing]
- CiteScore
- 4.5
- ES
- 0.00262
- JCI
- 0.55
- JCR
- 3.6
- KCI
- 1.59
- SJR
- 0.570
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