EM Algorithm Based MDL Application to Estimate the Mixture Model Clustering Parameters

摘要：

The paper presents a method of mixture model clustering for multidimensional data.A novel technique is presented in this paper in order to aid in an improved the clustering performance,which is called minimum description length (MDL).The technique attempts to find the model order which minimizes the number of bits that would be required to code both the data samples and the parameters vector.It also includes an unsupervised method for estimating the number of cluster and the parameters of the model sequentially which is called clustered components analysis (CCA).Lastly,our method is applied to simulated data for verification.

作者: Xie Wen-biao Wang Xiao-hua Zeng Zhe-zhao He Ke-xue Fan Bi-shuang

作者单位: Changsha University of Science and Technology,School of Electrical & Information Engineering,Changsha,410076,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）