The Analysis of the Ontology-based K-Means Clustering Algorithm

摘要：

　　In view of research findings made from home and abroad on clustering algorithm and the traditional partition clustering method K-means algorithm,this paper first analyses the advantages and disadvantages of this algorithm and then combines it with ontology-based data set to establish a semantic web model.It then tries to improve the existing clustering algorithm in various constraint conditions to demonstrate that the improved algorithm has better efficiency and accuracy under semantic web.

关键词： component Ontology Semantic Web Data K-means Algorithm

作者: Guo Qingju Ji Wentian Zhong Sheng Zhou En

作者单位: Department of information management Hainan College of Software Technology Qionghai,China College of Information Science & Technology Hainan University Haikou,China Department of Software Engineering Hainan College of Software Technology Qionghai,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 734-737

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）