Hello list,
the following approach did not work:
clustersA <- pam(distances, nkA, diss=TRUE);
gc();
filenameclu = paste("filenameclu", ".txt");
write.table(clustersA , file=filenameclu,sep=",");
although it worked with
clustersA <- hclust(distances, method="ward");
and a consecutive
kclassA <- cutree(clustersA, k=nkA);
filename = paste("clusters", ".txt");
write.table(kclassA,file=filename,sep=",",col.names=TRUE,row.names=TRUE);
Is there a <em>generic</em> method to export cluster object? I know that
pam is different (cluster object and some more data)- how can I extract
& export the clustering into a table with two columns, ID =
dissimilarity matrix row, and cluster = number of the cluster?
I waas using sink to get the data, but for large matrices it involves a
huge amount of manual formatting afterwards, let's say in excel.
Thanks many times
Martin
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