偏斜混合型数据的混合模型

IF 0.7 4区数学 Q3 STATISTICS & PROBABILITY

Statistics & Probability Letters Pub Date : 2025-07-25 DOI:10.1016/j.spl.2025.110507

Eman M.S. Alamer , Michael P.B. Gallaugher , Paul D. McNicholas

引用次数: 0

摘要

存在许多方法用于聚类分类或连续数据。然而，混合类型数据的选择很少，特别是当集群在连续变量中表现出偏态和/或重尾时。提出了一种基于模型的聚类方法来帮助解决这一差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A mixture model for skewed mixed-type data

Many approaches exist for clustering categorical or continuous data. However, there are few options for mixed-type data, especially when the clusters exhibit skewness and/or heavy tails in the continuous variables. A model-based clustering approach is proposed to help address this gap.

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来源期刊

Statistics & Probability Letters 数学-统计学与概率论

CiteScore

1.60

自引率

0.00%

发文量

173

审稿时长

6 months

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