Improvement of FCM Clustering Analysis Approach Based on the Weighted Indicator Variable

摘要：

Similar degree is presented which could describe the degree of value similarity and the degree of shape similarity. Replaced conventional similar matrix by similar degree matrix, fuzzy clustering analysis method is improved. Then initial clustering centre is ascertained. Index weight is improved in FCM analysis approach; iterative formulas and corresponding algorithm are given. Improved FCM analysis approach is applied to the example of charge of tuition fees, and the clustering result has certain worthiness for the quoto of it.

关键词： similar degree variable feature weighting clustering center FCM clustering analysis

作者: CHEN Xiaoguo

作者单位: Mathematics and Mechanics Dept, Heilongjiang Institute of Science and Technology, Harbin,P.R.China, 150027

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 345-350

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）