Journal of Applied Mathematics and Decision Sciences
Volume 2007 (2007), Article ID 37475, 15 pages
doi:10.1155/2007/37475
Abstract
In this paper, a procedure based on M-estimation to
determine the number of regression
models for the problem of regression clustering is proposed. We have shown that the true
classification is attained when n increases to infinity under certain mild conditions, for instance,
without assuming normality of the distribution of the random errors in each regression
model.