工程科学学报Issue(6)：693-699,7.DOI:10.13374/j.issn2095-9389.2015.06.003
基于模糊 C均值聚类和图形技术的结构面产状分析方法
FCM and graphics technique based method for discontinuities occurrence analysis
摘要
Abstract
ABSTRACT To solve the disadvantages of strong subjectivity for traditional plot methods of grouping discontinuities, such as the pole isodensity map and the occurrence rose graph, and the lack of intuitionism for popular clustering methods, this article introduces a plot method called the membership contour map. Based on the data of the membership matrix obtained through the fuzzy C-mean ( FCM) algorithm, the membership contour map is realized by a graphics technique. Due to the full use of membership information in FCM clustering, the membership contour map can show the spatial distribution of the membership degree of each clustering, distin-guish discontinuities caused by trivial random factors, and read out clustering centers by the scope form from the membership contour map directly. An application of Sanshandao Gold Mine proves that the membership contour map holds the advantages of both intuition-ism and objectivity, and can adapt discontinuities data, which do not have obvious dominant groups.关键词
结构面/模糊聚类/图形技术/等值线图Key words
discontinuities/fuzzy clustering/graphics technique/contour plots分类
矿业与冶金引用本文复制引用
修国林,李国清,彭康,王泽伟,刘志祥..基于模糊 C均值聚类和图形技术的结构面产状分析方法[J].工程科学学报,2015,(6):693-699,7.基金项目
国家自然科学基金资助项目(41372278,51374244) （41372278,51374244）
