Determining the Number of Components in Mixture Models Using Williams Statistical Test

摘要：

This paper presents a new approach which can be used to determine the optimum number of components in mixture models. The approach is developed using Williams statistical test for determining optimal drug doses. Three experimental examples demonstrate application of the proposed method to the number of components of the density functions using the Expectation Maximisation (EM) algorithm. It shown that the method can work but it is not perfect in all applications.

作者: Shuang Gang Derek Partridge

作者单位: Dept. of Computer Science, Exeter University, Exeter EX4 4PT, UK

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 866-872

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）