我有一些代码可以在 x,y 数据中查找集群。要检查我使用的集群数量，我想获取 BIC。这是不可能（很容易）使用kmeans()的，所以我已经切换到mclust 包。具体来说，我正在尝试用mclust 包替换kmeans()R stats包。Mclust()

使用Mclust()需要我指定应该使用哪个模型进行聚类。据?Mclust，以下型号可用于Mclust()：

univariate mixture      
"E"  =   equal variance (one-dimensional)
"V"  =   variable variance (one-dimensional)
multivariate mixture        
"EII"    =   spherical, equal volume
"VII"    =   spherical, unequal volume
"EEI"    =   diagonal, equal volume and shape
"VEI"    =   diagonal, varying volume, equal shape
"EVI"    =   diagonal, equal volume, varying shape
"VVI"    =   diagonal, varying volume and shape
"EEE"    =   ellipsoidal, equal volume, shape, and orientation
"EEV"    =   ellipsoidal, equal volume and equal shape
"VEV"    =   ellipsoidal, equal shape
"VVV"    =   ellipsoidal, varying volume, shape, and orientation
single component        
"X"  =   univariate normal
"XII"    =   spherical multivariate normal
"XXI"    =   diagonal multivariate normal
"XXX"    =   ellipsoidal multivariate normal

我假设统计中的 k-means 是一个“球形，不等体积”模型，即。要k-means(x = data, centers = 6)匹配mclust()，我应该使用mclust(data, G = 6, modelNames = c("VII")).

然而，在我所做的有限测试中，这给出了不同的集群质心。下面的示例使用 6 个集群和一些测试数据。显示了通过每种方法获得的质心。

谁能确认哪个mclust()型号相当于kmeans()？