특별한 형태의 자료에 대한 확장된 Fuzzy집락분석방법에 관한 연구

• 영문명: A Study of an Extended Fuzzy Cluster Analysis on Special Shape Data
• 발행기관: 한국산업경영시스템학회
• 저자명: 임대혁
• 간행물 정보: 『산업경영시스템학회지』제25권 제6호, 34~41쪽, 전체 6쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2002.12.01

국문 초록

We consider the Fuzzy clustering which is devised for partitioning a set of objects into a certain number of groups by assigning the membership probabilities to each object. The researches carried out in this field before show that the Fuzzy clustering concept is involved so much that for a certain set of data, the main purpose of the clustering cannot be attained as desired. Thus we propose a new objective function, named as Fuzzy-Entroppy Function in order to satisfy the main motivation of the clustering which is classifying the data clearly. Also we suggest Mean Field Annealing Algorithm as an optimization algorithm rather than the ISODATA used traditionally in this field since the objective function is changed. we show the Mean Field Annealing Algorithm works pretty well not only for the new objective function but also for the classical Fuzzy objective function by indicating that the local minimum problem resulted from the ISODATA can be improved.