Bounded generalized Gaussian mixture model

作者：

Highlights：

• A new model, which includes GMM, LMM, and GGMM as special cases, is presented.

• The new distribution is applied for non-Gaussian and bounded support data.

• Our model is sufficiently flexible to fit different shapes of observed data.

• We propose an approach to minimize the negative log-likelihood function.

摘要

Highlights•A new model, which includes GMM, LMM, and GGMM as special cases, is presented.•The new distribution is applied for non-Gaussian and bounded support data.•Our model is sufficiently flexible to fit different shapes of observed data.•We propose an approach to minimize the negative log-likelihood function.

论文关键词：Mixture model,Bounded support regions,Generalized Gaussian distribution

论文评审过程：Received 11 September 2013, Revised 26 February 2014, Accepted 23 March 2014, Available online 4 April 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.03.030