Semi-supervised model-based clustering with controlled clusters leakage
作者：
Highlights：
• Semi-supervised version of Gaussian mixture model.
• It retrieves natural subgroups in partially categorized data.
• The model has a closed form solution.
• It allows to successfully discover meaningful groups from partially classified data.
摘要
•Semi-supervised version of Gaussian mixture model.•It retrieves natural subgroups in partially categorized data.•The model has a closed form solution.•It allows to successfully discover meaningful groups from partially classified data.
论文关键词：Semi-supervised clustering,Projection pursuit,Model-based clustering,Cross-entropy,Constrained Gaussian mixture model
论文评审过程：Received 12 December 2016, Revised 28 April 2017, Accepted 13 May 2017, Available online 17 May 2017, Version of Record 22 May 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.032
