有人可以解释 R 中 pvclust 函数的输出吗?

Can someone explain the output from the pvclust function in R?

在R的pvclust包中,有pvclust()函数。在函数帮助文件中提供的示例中,有函数:

boston.pp <- pvpick(boston.pv)

这应该打印出具有高 p 值的集群。这个函数的输出是:

$clusters
$clusters[[1]]
[1] "rm"   "medv"

$clusters[[2]]
[1] "zn"  "dis"

$clusters[[3]]
[1] "crim"    "indus"   "nox"     "age"     "rad"     "tax"     "ptratio" "lstat"  


$edges
[1] 3 5 9

我很难理解输出的含义,尤其是因为我在聚类分析方面的技术背景非常有限。特别是,我不明白每个集群下的名称向量的含义。有人可以为我解释一下吗?谢谢!

https://cran.r-project.org/web/packages/pvclust/pvclust.pdf 描述 pvclust:

For data expressed as (n x p) matrix or data frame, we assume that the data is n observations of p objects, which are to be clustered. The i’th row vector corresponds to the i’th observation of these objects and the j’th column vector corresponds to a sample of j’th object with size n

pvpick 的输出:

cluster - a list of character string vectors. Each vector corresponds to the names of objects in each cluster.

你绘制了 pvclust 输出的树状图吗? pvpick clusters 输出仅列出某些簇中的内部点(pvclust 将波士顿数据集中的每个 视为一个点),如果绘制它,您将在树状图中看到。