dendrogram stops!
Le mercredi 16 janvier 2013 ? 07:29 +0200, Ibrahim Sobh a ?crit :
Dear I am using the 'as.dendrogram' function from the 'stats' library to convert from an hclust object 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.
Could you be more specific about what you want to do? Maybe you don't need these functions because there are alternate ways of doing the same thing with an hclust object. Cheers
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 (the link is below) 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? as.dendrogram code: https://svn.r-project.org/R/trunk/src/library/stats/R/dendrogram.R library('stats') library('fastcluster') 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| Best RegardsSobh [[alternative HTML version deleted]]
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