Hi All,
I'm trying to run a kernel principal component analysis on a corpus with 89769
text documents. I'm using the kpca command from the kernlab package. Here is
the code:
output<-kpca(text, kernel=worddot(type="spectrum", length=1))
The problem is that when I run the kpca, it bails after only a few minutes,
generating the following error:
Error in
.jcall(.jnew("opennlp/maxent/io/SuffixSensitiveGISModelReader", :
java.lang.OutOfMemoryError: Java heap space
The openNLP package is a dependency for the kernlab package.
output<-kpca(text, kernel=worddot(type="spectrum", length=1))
I appreciate any help anyone can give!
--
Patrick Rogers
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