hi:
I need to extract the text contexts of top 1 group after clustering.
But I have no idea how to sort the cluster size then extract the contexts of
top 1 clusters.
here is my cluster code:
> file <- read.csv("SiC CMP.csv", header = TRUE)
> cluster_k<-length(unique(file$Main.IPC))
> cl <- kmeans(IPC_Dtm , cluster_k)
I have tried use��
> sort(cl$size, decreasing=T)
[1] 341 107 104 80 51 22 15 11 10 8 8 5 5 5 4 4 4 3
3 2 2
[22] 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1
[43] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
But I have no idea how to extract the contexts of top 1 cluster.
Eva
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