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Mixtures of Hidden Truncation Hyperbolic Factor Analyzers
Journal of Classification ( IF 1.8 ) Pub Date : 2019-05-02 , DOI: 10.1007/s00357-019-9309-y
Paula M. Murray , Ryan P. Browne , Paul D. McNicholas

The mixture of factor analyzers model was first introduced over 20 years ago and, in the meantime, has been extended to several non-Gaussian analogs. In general, these analogs account for situations with heavy tailed and/or skewed clusters. An approach is introduced that unifies many of these approaches into one very general model: the mixture of hidden truncation hyperbolic factor analyzers (MHTHFA) model. In the process of doing this, a hidden truncation hyperbolic factor analysis model is also introduced. The MHTHFA model is illustrated for clustering as well as semi-supervised classification using two real datasets.

中文翻译:

隐藏截断双曲因子分析器的混合物

混合因子分析器模型于 20 多年前首次引入,同时已扩展到几个非高斯类似物。一般来说,这些类似物解释了重尾和/或偏斜集群的情况。引入了一种方法,将这些方法中的许多统一为一个非常通用的模型:隐藏截断双曲因子分析器 (MHTHFA) 模型的混合。在这样做的过程中,还引入了一个隐藏的截断双曲因子分析模型。MHTHFA 模型用于使用两个真实数据集进行聚类和半监督分类。
更新日期:2019-05-02
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