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Model-based clustering of categorical data based on the Hamming distance
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-09-20 , DOI: 10.1080/01621459.2024.2402568
Raffaele Argiento, Edoardo Filippi-Mazzola, Lucia Paci

A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability mass functions to m...

中文翻译:


基于汉明距离的分类数据模型聚类



开发了一种基于模型的方法,用于对没有自然排序的分类数据进行聚类。所提出的方法利用汉明距离来定义一系列概率质量函数以...
更新日期:2024-09-20
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