MCLUST: Software for model-based cluster analysis
MCLUST: Software for model-based cluster analysis
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DOI：
10.1007/s003579900058
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发表时间：
1999-01-01
影响因子：
2
通讯作者：
Raftery, AE
中科院分区：
文献类型：
--
作者：
Fraley, C;Raftery, AE
MCLUST是一个用Fortran编写的聚类和判别分析软件包，与S-PLUS商业软件包1和具有类似外观和感觉的免费R语言2接口。它实现了参数化高斯分层聚类算法[16，1，7]和参数化高斯混合模型的EM算法[5，13，3，14]，可能添加了泊松噪声项。MCLUST还包括将联合收割机分层聚类、EM和贝叶斯信息准则（BIC）结合在综合聚类策略中的功能[4，8]。这种类型的方法在许多实际应用中显示出希望，包括字符识别[16]，组织分割[1]，雷区和地震故障检测[4]，从图像中识别纺织品缺陷[2]，以及天文数据分类[3，15]。可在http：//www. stat.华盛顿。edu/fraley/martel/home. HTML.
MCLUST is a software package for cluster and discriminant analysis written in Fortran and interfaced to the S-PLUS commercial software package1 and the freely available R language 2 which has a similar look and feel. It implements parameterized Gaussian hierarchical clustering algorithms [16, 1, 7] and the EM algorithm for parameterized Gaussian mixture models [5, 13, 3, 14] with the possible addition of a Poisson noise term. MCLUST also includes functions that combine hierarchical clustering, EM and the Bayesian Information Criterion (BIC) in a comprehensive clustering strategy [4, 8]. Methods of this type have shown promise in a number of practical applications, including character recognition [16], tissue segmentation [1], minefield and seismic fault detection [4], identification of textile flaws from images [2], and classification of astronomical data [3, 15]. A web page with related links can be found at http://www. stat. washington. edu/fraley/mclust/home. html.