View source: R/clusteringOPtions.R
1 | clusteringOPtions(cluster, dim)
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cluster |
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dim |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (cluster, dim)
{
if (dim == 2) {
rdis.test = as.matrix(cluster[, c("x", "y")])
set.seed(0)
chec = data.frame(matrix(ncol = 0, nrow = 0))
for (i in seq(5, 100, 5)) {
test.hd = hdbscan(rdis.test, minPts = i)
che = as.data.frame(cbind(max(test.hd$cluster), i))
chec = rbind(chec, che)
}
colnames(chec) = c("Modules", "Cutoff Value")
}
if (dim == 3) {
rdis.test = as.matrix(cluster[, c("x", "y", "z")])
set.seed(0)
chec = data.frame(matrix(ncol = 0, nrow = 0))
for (i in seq(5, 100, 5)) {
test.hd = hdbscan(rdis.test, minPts = i)
che = as.data.frame(cbind(max(test.hd$cluster), i))
chec = rbind(chec, che)
}
colnames(chec) = c("Modules", "Cutoff Value")
}
return(chec)
}
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