Hierarchical clustering with own distance matrix

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

install.packages("tseries")
library("tseries")
test <- read.matrix("test.matrix",header=TRUE,sep="\t")
h = hclust(as.dist(test))
plot(h)