zttw <- ttww(x, clres$size, clres$cluster) because it use cov function which can not be used on only one value
And the problem is that some indexes (e.g. "calinsky") do not use this value.
replace this line by #zttw <- ttww(x, clres$size, clres$cluster)
and it will work.
However, some indexes used this quantity ("scott", "marriot"...)
I think that the author must modify the function because it stops the function although the statistic could be computed
Sincerely,
At 09:09 09/03/2004, Sebastien Durand wrote:
Hello, here is my problem,
After looking at the mail archives, I found a description of the error I get when I use this package. At first I even tought that they were showing how to solve it.
But the thing is that by saying "the programmer forgot drop=FALSE" doesn't show me how I should get rid of the problem
I have looked inside the package very quickly and I found three files, I am not sure what to do to fix this (the problem is describe bellow)
I would be very happy to have someone show me how to solve my problem....
Thanks a lot
S�bastien Durand
On Wed, 20 Feb 2002, David Wartel wrote:
...snip...
I have to solve a clustering problem.
My first step is to determinate the number of clusters, that's why I 'm using... number of clusters. A function is already implemented in R to calculate this index :
clustIndex(cl,x, index="calinski")
Where is that from? It's not part of R -- package cclust, perhaps?
where cl is the result of a clustering method , for instance:
cclust(x,k,itermax,verbose=TRUE,method="kmeans")
My probleme is that I can't calculate the Calinski's index when a cluster contains only one datapoint :
Error in cov(x[cluster == l, ]) : supply both x and y or a matrix-like x
The programmer forgot drop=FALSE, it would seem.
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