计算机工程与科学2011，Vol.33Issue(12)：121-125,5.DOI:10.3969/j.issn.1007-130X.2011.12.022
模糊聚类分析系统的研究与实现
Research and Implementation of a Fuzzy Clustering Analysis System
摘要
Abstract
By the analytic comparison between fuzzy equivalence and fuzzy ISODATA methods, two methods are synthesized to structure a combined fuzzy clustering analysis method. The set of fuzzy clustering analysis system realizes separately based on fuzzy equivalence relations, fuzzy equivalence relation and fuzzy clustering analysis based on integrated fuzzy clustering, which is developed with VC++ and Fortran6. 5. The system is used to identify the bad-data in power systems and has made an ideal effect. The analysis of example reveals that the system has the characteristics of flexible choice for clustering approaches, friendly interface, and fast speed of calculation, etc. Therefore, it will have a great application prospect in the future.关键词
模糊聚类分析/模糊等价关系/模糊ISODATA法/组合模型/混合编程Key words
fuzzy clustering analysis/fuzzy equivalence relation/fuzzy ISODATA method/combined model/hybrid programming分类
信息技术与安全科学引用本文复制引用
蒋德珑,李盛,王克文,付金光..模糊聚类分析系统的研究与实现[J].计算机工程与科学,2011,33(12):121-125,5.基金项目
国家自然科学基金资助项目(50177028) （50177028）
郑州大学研究生科学研究基金(08YKYA018) （08YKYA018）
