Union Coding Based Immune Clone Selection Unsupervised Clustering Algorithm

摘要：

　　A new union based coding based immune clone selection clustering algorithm is proposed in this paper.The algorithm designs a coding method which synthesizes number of clusters and cluster centers,without first specifying the number of clusters,effectively overcoming the dependency on the domain knowledge.At the same time,generate clustering results by immune clone operator,and get the final results by the lopping operation of minimum spanning tree.Experimental results show that the methods can cluster for different types of data sets properly and can determine the appropriate number of clusters.

关键词： Union coding Immune Unsupervised clustering Minimum spanning tree

作者: Lichao Mou Xiaoying Pan

作者单位: automation school xian university of posts & telecommunications School of Computer Science & Technology Xian University of Posts & Telecommunications

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1352-1355

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）