새로운 F-Measure 기반 클러스터링 평가 척도

• 영문명: A New F-Measure based Clustering Evaluation Measure
• 발행기관: 한국산업경영시스템학회
• 저자명: 김경택(Kyeongtaek Kim)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2012년 추계학술대회 논문집, 114~117쪽, 전체 4쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2012.10.30

영문 초록

F-Measure is one of the external validity indexes for evaluating clustering results and has been widely used.Though it has clear advantage over other widely usedexternal measures such as Purity and Entropy, FMeasure has inherently been less sensitive than other validity indexes in some cases. This insensitivity owes to the definition of F-Measure that counts only most influential portions. In this research, we define a new validity index based on F-Measure, called F_n-Measure and show that it can detect the difference in the cases that original F-Measure cannot detect the difference in clustering results.

목차

1. 서론

2. 외부기준의 방법들

3. 새로운 클러스터링 타당성 인덱스

4. 사례연구

5. 결론

Acknowledgement

참고문헌

키워드

clustering index external measure F_n-measure