Determining the Number of Components in Mixture Models using Williams' Statistical Test

This source preferred by Shuang Cang

Authors: Cang, S. and Partridge, D.

http://appsrv.cse.cuhk.edu.hk/~apnna/proceedings/iconip2001/

Start date: 14 November 2001

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.

This data was imported from CiNii EN:

Authors: CANG, S.

Journal: 8th International Conference on Neural Information Processing, 2001

This data was imported from CiNii JP:

Authors: CANG, S.

Journal: 8th International Conference on Neural Information Processing, 2001

The data on this page was last updated at 04:42 on September 25, 2017.