General split gaussian Cross–Entropy clustering

作者：

Highlights：

• We have applied highly applicable clustering method to non-normal data.

• We use a generalization of Split Normal distribution.

• We use Cross–Entropy clustering method instead of EM approach.

• Our algorithm gives better results than classical methods.

摘要

•We have applied highly applicable clustering method to non-normal data.•We use a generalization of Split Normal distribution.•We use Cross–Entropy clustering method instead of EM approach.•Our algorithm gives better results than classical methods.

论文关键词：Clustering,Split gaussian,Expectation maximization,Gaussian mixture model,Cross–Entropy clustering

论文评审过程：Received 20 June 2016, Revised 6 September 2016, Accepted 12 October 2016, Available online 12 October 2016, Version of Record 19 October 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.025