将cluster.stats与hclust一起使用

在两个不同的hclust群集上使用cluster.stats时出现问题。这不可能吗

我使用的是版本0.99.491–©2009-2015 RStudio，Inc。 安装了以下软件包：

mylib <- "/Users/Klaus/R Packages/"; mylib
install.packages("NbClust",lib=mylib)
install.packages("modeltools",lib=mylib)
install.packages("flexclust",lib=mylib)
install.packages("RTextTools",lib=mylib) # Amazon's default machine image uses the Atlas BLAS. R points to that when installed with all defaults, but RTextTools expects the ordinary BLAS. 
install.packages("mclust",lib=mylib)
install.packages("fpc",lib=mylib)

library("NbClust",lib=mylib)
library("modeltools",lib=mylib)
library("flexclust",lib=mylib)
library("cluster",lib=mylib)
library("mclust",lib=mylib)
library("fpc",lib=mylib)

错误（在丹麦设置中）：

---

Fejl i`[hclust将计算树状图，而不是分区

要执行后一步，请使用cutree。然后您应该可以继续。
以下代码应该可以运行，我自己也尝试过：

fit.single <- hclust(d_eucli, method="single")

fit.average <- hclust(d_eucli, method="average")

cut.single <- cutree(fit.single, k=3) 

fit.single
cluster.stats(d_eucli, fit.single$cluster, fit.average$cluster)

Fejl i `[<-`(`*tmp*`, j, i, value = Inf) : subscript out of bounds
In addition: Advarselsbeskeder:
1: I max(clustering) : no non-missing arguments to max; returning -Inf
2: I cluster.stats(d_eucli, fit.single$cluster, fit.average$cluster) :
  clustering renumbered because maximum != number of clusters
3: I min(bv) : no non-missing arguments to min; returning Inf
4: I min(sij) : no non-missing arguments to min; returning Inf

fit.single <- hclust(d_eucli, method="single")

fit.average <- hclust(d_eucli, method="average")

cut.single <- cutree(fit.single, k=3) 

cut.average <- cutree(fit.average, k=3)

cluster.stats(d_eucli, cut.single, cut.average)