An entropy criterion for assessing the number of clusters in a mixture model
An entropy criterion for assessing the number of clusters in a mixture model
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DOI：
10.1007/bf01246098
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发表时间：
1996-01-01
影响因子：
2
通讯作者：
Soromenho, G
中科院分区：
文献类型：
--
作者：
Celeux, G;Soromenho, G
在这篇文章中，我们考虑了一个熵准则来估计混合模型中产生的簇数。这一准则是从混合物的似然和分类似然之间的关系中推导出来的。通过蒙特卡罗实验研究了该判据的性能，与其他经典判据相比，该判据具有较好的性能。
In this paper, we consider an entropy criterion to estimate the number of clusters arising from a mixture model. This criterion is derived from a relation linking the likelihood and the classification likelihood of a mixture. Its performance is investigated through Monte Carlo experiments, and it shows favorable results compared to other classical criteria.