Conditional mixture modeling and model-based clustering
作者：
Highlights：
• Proposed a novel family of finite mixture models that
• can model non-compact clusters
• can model each cluster individually without imposing common component structure assumptions
• Developed an algorithm for a speedy search of the conditioning order
• Illustrated the developed methodology on simulated and well-known classification data sets, with good results
摘要
•Proposed a novel family of finite mixture models that•can model non-compact clusters•can model each cluster individually without imposing common component structure assumptions•Developed an algorithm for a speedy search of the conditioning order•Illustrated the developed methodology on simulated and well-known classification data sets, with good results
论文关键词：finite mixture model,model-based clustering,non-compact clusters,regression,variable selection
论文评审过程：Received 16 April 2022, Revised 27 July 2022, Accepted 20 August 2022, Available online 24 August 2022, Version of Record 15 September 2022.
论文官网地址：https://doi.org/10.1016/j.patcog.2022.108994
