Adapted clusterStab package
1
0
Entering edit mode
Wendy Qiao ▴ 360
@wendy-qiao-4501
Last seen 9.6 years ago
Hi all, I would like to validate my clustering based on Pearson correlation coefficients. I found that somebody have adapted clusterStab from Euclidean distance matrix to Pearson correlation coefficient matrix. I was wondering if the adapted code is publicly available. Do you have any other suggestions for validating the number of clusters from Pearson correlation coefficients? Thank you in advance, Wendy [[alternative HTML version deleted]]
Clustering clusterStab Clustering clusterStab • 720 views
ADD COMMENT
0
Entering edit mode
@james-w-macdonald-5106
Last seen 12 hours ago
United States
Hi Wendy, On 4/16/2011 6:12 PM, Wendy Qiao wrote: > Hi all, > > I would like to validate my clustering based on Pearson correlation > coefficients. I found that somebody have adapted clusterStab from Euclidean > distance matrix to Pearson correlation coefficient matrix. I was wondering > if the adapted code is publicly available. Do you have any other suggestions > for validating the number of clusters from Pearson correlation coefficients? Due to popular request (like three times in the last five years ;-D), I have added a 'distmeth' argument to both clusterComp() and benhur(). Valid choices are "euclidean" (default) and "pearson". If you choose "pearson", then the distance measure will be 1-cor(<yourdatahere>). This is in the devel branch, version 1.25.1 and will be propagated through the build system in the next couple of days. You don't technically need the devel version of R to use it, just download the correct version for your OS and install. Best, Jim > > Thank you in advance, > Wendy > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- James W. MacDonald, M.S. Biostatistician Douglas Lab University of Michigan Department of Human Genetics 5912 Buhl 1241 E. Catherine St. Ann Arbor MI 48109-5618 734-615-7826 ********************************************************** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues
ADD COMMENT

Login before adding your answer.

Traffic: 730 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6