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Gaffney, S. and Smyth, P. (1999) Trajectory Clustering with Mixture Regression Model. Technical Report, No. 99-15.

has been cited by the following article:

• TITLE: A Fast Iteration Method for Mixture Regression Problem

  AUTHORS: Dawei Lang, Wanzhou Ye

  KEYWORDS: Mixture Regression Problem, Fast Iteration Method, Model-Based Clustering

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.3 No.9, September 8, 2015

  ABSTRACT: 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 (i.e. Laplace and t distribution). Extensive numeric experiments show that our proposed method has better performance on randomly simulations and real data.