클러스터 평가 외부기준 척도 Fn-Measure

• 영문명: F_n-Measure : An External Cluster Evaluation Measure
• 발행기관: 한국산업경영시스템학회
• 저자명: 김경태(Kyeongtaek Kim)
• 간행물 정보: 『산업경영시스템학회지』제35권 제4호, 244~248쪽, 전체 5쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2012.12.31

영문 초록

F-Measure is one of the external measures for evaluating the validity of clustering results. Though it has clear advantages over other widely used external measures such as Purity and Entropy, F-Measure has inherently been less sensitive than other validity measures. This insensitivity owes to the definition of F-Measure that counts only most influential portions. In this research, we present F_n-Measure, an external cluster evaluation measure based on F-Measure. F_n-Measure is so sensitive that it can detect their difference in the cases that F-Measure cannot detect the difference in clustering results. We compare F_n-Measure to F-Measure for a few clustering results and show which measure draws better result based upon homogeneity and completeness.

목차

1. 서론

2. 외부기준의 방법들

3. 새로운 클러스터링 척도

4. 사례 연구

5. 결론

Acknowledgement

References

키워드

External Clustering Measure F-Measure F_n-Measure