i have a matrix with the following dimensions
136 3
and it looks something like
[,1] [,2] [,3]
[1,] 402 675 1.802758
[2,] 402 696 1.938902
[3,] 402 699 1.994253
[4,] 402 945 1.898619
[5,] 424 470 1.812857
[6,] 424 905 1.816345
[7,] 470 905 1.871252
[8,] 504 780 1.958191
[9,] 504 848 1.997111...............
................................................................................
so you get the idea. I want to group similar items in one group/cluster
following the "friends of friends" approach. I tried doing
distclust <- hclust(distA,method="single")
However, I got the following error.
Error in if (n < 2) stop("must have n >= 2 objects to cluster") : argument
is of length zero
which probably means there's something wrong with my input here. Is there
another way of doing this kind of clustering without getting into all the
looping and ifelse etc. Basically, if 402 is close to 675,696,and699 and
thus fall in cluster A then all items close to 675,696,and 699 should also
fall into the same cluster A following a friends of friedns strategy.
Any help would be highly appreciated.
--
Ayesha Khan
MS Bioengineering
Dept. of Bioengineering
Rice University, TX
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