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2007 Nov 27
2
exporting clustering results to table
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", &quo...
2017 Aug 17
2
PAM Clustering
...* code line?* *Regards.* On Thu, Aug 17, 2017 at 2:58 PM, Germano Rossi <germano.rossi at gmail.com> wrote: > try this > > MYdata <- read.csv2("data.txt",dec='.') > library(cluster) > cluster.pam = pam(MYdata,10) > table(cluster.pam$clustering) > filenameclu = paste("clusters", ".txt") > write.table(cluster.pam$clustering, file=filenameclu,sep=",") > > > 2017-08-17 10:28 GMT+02:00 Sema Atasever <s.atasever at gmail.com>: > >> Dear Authorized Sir / Madam, >> >> I have a data set in whi...
2017 Aug 17
0
PAM Clustering
try this MYdata <- read.csv2("data.txt",dec='.') library(cluster) cluster.pam = pam(MYdata,10) table(cluster.pam$clustering) filenameclu = paste("clusters", ".txt") write.table(cluster.pam$clustering, file=filenameclu,sep=",") 2017-08-17 10:28 GMT+02:00 Sema Atasever <s.atasever at gmail.com>: > Dear Authorized Sir / Madam, > > I have a data set in which each row indicates an amino asi...
2017 Aug 17
2
PAM Clustering
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2017 Aug 17
0
PAM Clustering
...Aug 17, 2017 at 2:58 PM, Germano Rossi <germano.rossi at gmail.com> > wrote: > >> try this >> >> MYdata <- read.csv2("data.txt",dec='.') >> library(cluster) >> cluster.pam = pam(MYdata,10) >> table(cluster.pam$clustering) >> filenameclu = paste("clusters", ".txt") >> write.table(cluster.pam$clustering, file=filenameclu,sep=",") >> >> >> 2017-08-17 10:28 GMT+02:00 Sema Atasever <s.atasever at gmail.com>: >> >>> Dear Authorized Sir / Madam, >>> >&...
2017 Jul 10
1
PAM Clustering
...can i fix this error? Thanks in advance. ? data.csv <https://drive.google.com/file/d/0B4rY6f4kvHeCcVpLRTQ5VDhDNUk/view?usp=drive_web> ? *pam.R* data <- read.csv2("data.csv") attach(data) d=as.matrix(data) library(cluster) cluster.pam = pam(d,10) table(cluster.pam$clustering) filenameclu = paste("clusters", ".txt") write.table(cluster.pam$clustering, file=filenameclu,sep=",") [[alternative HTML version deleted]]