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 [[alternative HTML version deleted]]
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