%0 Journal Article
%T A Fast Iteration Method for Mixture Regression Problem
%A Dawei Lang
%A Wanzhou Ye
%J Journal of Applied Mathematics and Physics
%P 1100-1107
%@ 2327-4379
%D 2015
%I Scientific Research Publishing
%R 10.4236/jamp.2015.39136
%X In this paper, we propose a Fast Iteration Method for solving mixture regression problem, which can be treated as a model-based clustering. Compared to the EM algorithm, the proposed method is faster, more flexible and can solve mixture regression problem with different error distributions (<em>i.e.</em> Laplace and t distribution). Extensive numeric experiments show that our proposed method has better performance on randomly simulations and real data.
%K Mixture Regression Problem
%K Fast Iteration Method
%K Model-Based Clustering
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=59467