An Improved Clustering Algorithm Based on Density and Shared Nearest Neighbor

摘要：

　　This paper proposes a new definition method of the shared nearest neighbor and applies it to the clustering algorithm based on the density.The new definition considers both the number of shared nearest neighbors and the distance between data objects to optimize the traditional standard.The improved clustering algorithm is applied to the real dataset Iris.The experiment shows that the improved algorithm has the more accurate clustering result.

关键词： shared nearest neighbor density clusteirng analysis k-nearest neighbor

作者: Hanmin Ye Hao Lv Qianting Sun

作者单位: Guilin University of Technology Guilin,China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 37-40

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）