Hierarchical clustering with own distance matrix

Create your own dissimilarity matrix and save it in a file, say test.matrix

column1 column2 column3
0 1 3
1 0 2
3 2 0
install.packages("tseries")
library("tseries")
test <- read.matrix("test.matrix",header=TRUE,sep="\t")
h = hclust(as.dist(test))
plot(h)
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