山东农业大学学报（自然科学版）2018，Vol.49Issue(2)：335-338,4.DOI:10.3969/j.issn.1000-2324.2018.02.029
海量数据分类中的模糊区域判定算法研究
Research on the Algorithm of Fuzzy Region Decision in Mass Data Classification
欧立奇 1何媛 1李云飞 1赵郁园 1刘瀚1
作者信息
- 1. 西京学院商贸技术系,陕西 西安710123
- 折叠
摘要
Abstract
Aiming at the massive data classification in the traditional K-means clustering algorithm, the fuzzy data decomposition to determine the region is not sensitive,easy to fall into local optimal solution,unable to realize fuzzy massive data clustering problem,algorithm design for data classification by fuzzy region,parameter calculation of fuzzy state regional characteristics of big data,select the optimal clustering point of big data,in the clustering center area to create any single data exchange, data of each tiny feature to achieve interoperability by calculating the degree of membership and the way to determine the number of clusters, solve the hidden fuzzy region real boundary in the massive data and realize clustering is fuzzy region of massive data.The experimental results show that the proposed algorithm can obtain accurate fuzzy clustering results and improve the fuzzy clustering efficiency of mass data.关键词
数据分类/模糊区域判定/算法Key words
Data classification/fuzzy region decision/algorithm分类
医药卫生引用本文复制引用
欧立奇,何媛,李云飞,赵郁园,刘瀚..海量数据分类中的模糊区域判定算法研究[J].山东农业大学学报（自然科学版）,2018,49(2):335-338,4.
