Dear Sir/Madam,
I am using the 'as.dendrogram' function to convert from an hclust object (using
'fastcluster') to a dendrogram with a dataset of size ~30000 (an example code
is below). I need the dendrogram structure to use the "dendrapply" and
"attributes" functions and to access the child nodes, I do not need any of the
plot properties.
The problem is that it takes an infinite amount of time to convert and it uses
a lot of memory.
Could you please let me know which part of the code takes the longest time and
if there's a way to make it faster. Is it the recursive part or when applying
the attributes to each node (merging, etc) ?
If there isn't a way to make it faster, are there similar functions(dendrapply,
attributes, accessing of child nodes) that use the hclust object instead?
Thanks,
Sahar Alkhairy
#####
options(expressions=500000)
NCols=10
NRows=30000
DataB <-matrix(runif(NCols*NRows), ncol=NCols)
HClust <- hclust.vector(DataB )
dhc <- as.dendrogram(HClust) #gets stuck here forever
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