我怎么知道哪些观察属于哪个集群？
How do I know which observations belong to which cluster?
我 运行 R 中的层次聚类，我怎么知道哪个观察属于哪个聚类？谢谢！
### Hierarchical Clustering
d <- dist(EMEA_2, method = "euclidean") # distance matrix
fit <- hclust(d, method="complete")
### Decide bet number of clusters
library(knitr)
library(NbClust)
nc<-NbClust(data = EMEA_2, distance = "euclidean", min.nc=2, max.nc=15, method = "complete", index = "db", alphaBeale = 0.1)
groups <- cutree(fit, k=2) # cut tree into 2 clusters
### Get group means and number of frequencies within each cluster
a2<-aggregate(EMEA_2, list(groups),mean)
a4<-data.frame(Cluster = a2[,1], Freq = as.vector(table(groups)), a2[,-1])
如果您对 NbClust 的优化结果感兴趣，您会在 nc$Best.partition 中找到它，其中每个数字都是数据矩阵中相应行的簇号。
例如
> nc$Best.partition
[1] 1 2 3 4 5 1 3 5 1 1 4 1 4 1 5 1 5 1 4 2
对于 20x10 数据矩阵。
我 运行 R 中的层次聚类，我怎么知道哪个观察属于哪个聚类？谢谢！
### Hierarchical Clustering
d <- dist(EMEA_2, method = "euclidean") # distance matrix
fit <- hclust(d, method="complete")
### Decide bet number of clusters
library(knitr)
library(NbClust)
nc<-NbClust(data = EMEA_2, distance = "euclidean", min.nc=2, max.nc=15, method = "complete", index = "db", alphaBeale = 0.1)
groups <- cutree(fit, k=2) # cut tree into 2 clusters
### Get group means and number of frequencies within each cluster
a2<-aggregate(EMEA_2, list(groups),mean)
a4<-data.frame(Cluster = a2[,1], Freq = as.vector(table(groups)), a2[,-1])
如果您对 NbClust 的优化结果感兴趣，您会在 nc$Best.partition 中找到它，其中每个数字都是数据矩阵中相应行的簇号。
例如
> nc$Best.partition
[1] 1 2 3 4 5 1 3 5 1 1 4 1 4 1 5 1 5 1 4 2
对于 20x10 数据矩阵。