<mailto:bioconductor@r-project.org>Hello all,

I am having a great deal of trouble getting BHC to run on non-trivial 
datasets. I am using the following commands:

data           <- read.csv("data.csv")
itemLabels <- names(data)
timePoints <- 1:24 # for the time-course case

nDataItems <- nrow(data) # this equals 152000, approximately
nFeatures  <- ncol(data)   # this equals 24

BHC_OUT <- bhc(data,itemLabels,timePoints"time-course",verbose=TRUE)

---

This causes R to immediately lock up on windows 7, linux mint 13, and 
OSX 10.6.8. The input data are variance normalized time-series exported 
from MATLAB.

Here is a sample timeseries from the .csv:

-1.7858,-0.26742,0.37038,-0.87986,-0.55435,-0.89642,-1.2815,-0.62659,-0.98028,-1.0542,-1.0058,0.51103,0.90252,2.5272,-0.3048,0.81275,0.22414,0.15235,-0.20437,0.2545,0.95103,1.4214,0.82618,0.77179

Any help would be greatly appreciated.

Cheers, Joseph


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