Displaying 20 results from an estimated 81 matches for "dissed".
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2006 Mar 09
1
HCLUST subroutine question -- FORTRAN DO loops
Shown below is most of the FORTRAN subroutine named HCLUST.
My question concerns the DO loop labeled as '10'. What happened to its
CONTINUE statement? I will assume that after FLAG(I)=.TRUE. is executed that
control returns to DO 10 I=1,N. Am I correct?
Dave
----------------------------
C Initializations
C
DO 10 I=1,N
C We do not initialize MEMBR in order to be able to
2011 Jun 27
3
New to R, trying to use agnes, but can't load my ditance matrix
Hi,
I'm mighty new to R. I'm using it on Windows. I'm trying to cluster using a
distance matrix I created from the data on my own and called it D10.dist. I
loaded the cluster package. Then tried the following command...
> agnes("E:D10.dist", diss = TRUE, metric = "euclidean", stand = FALSE,
> method = "average", par.method, keep.diss = n < 1000,
2008 Sep 02
2
cluster a distance(analogue)-object using agnes(cluster)
I try to perform a clustering using an existing dissimilarity matrix that I
calculated using distance (analogue)
I tried two different things. One of them worked and one not and I don`t
understand why.
Here the code:
not working example
library(cluster)
library(analogue)
iris2<-as.data.frame(iris)
str(iris2)
'data.frame': 150 obs. of 5 variables:
$ Sepal.Length: num 5.1 4.9 4.7
2010 Dec 26
4
how to replace my double for loop which is little efficient!
Dear all,
My double for loop as follows, but it is little efficient, I hope all
friends can give me a "vectorized" program to replace my code. thanks
x: is a matrix 202*263, that is 202 samples, and 263 independent variables
num.compd<-nrow(x); # number of compounds
diss.all<-0
for( i in 1:num.compd)
for (j in 1:num.compd)
if (i!=j) {
S1<-sum(x[i,]*x[j,])
2017 Aug 17
0
PAM Clustering
Sorry, I never use pam. In the help, you can see that pam require a
dataframe OR a dissimilarity matrix. If diss=FALSE then "euclidean" was use.So,
I interpret that a matrix of dissimilarity is generated automatically.
Problems may be in your data. Indeed
pam(ruspini, 4)$diss
write a dissimilaty matrix
while
pam(MYdata,10)$diss
wite NULL
2017-08-17 16:03 GMT+02:00 Sema Atasever
2017 Aug 17
2
PAM Clustering
Dear Germano,
Thank you for your fast reply,
In the above code, *MYData *is the actual data set.
Do not we need to convert *MYData to *the dissimilarity matrix using
*pam(as.dist(**MYData**), k = 10, diss = TRUE*)* code line?*
*Regards.*
On Thu, Aug 17, 2017 at 2:58 PM, Germano Rossi <germano.rossi at gmail.com>
wrote:
> try this
>
> MYdata <-
2002 Jan 28
1
Cluster package broken in 1.4.0?
Greetings,
I am reasonably experienced with R but I recently tried to
do some clustering using the "cluster" package, in order
to see if it would help.
I only tried this once with the 1.3.1 version and it worked
(I don't quite remember which method I used).
Now, I tried with the 1.4.0 version and no clustering function
seems to work with matrices that contain NAs, even
though
2000 Aug 28
2
R function calling. Do I understand this right?
I need to write a nonhierarchical clustering routine and I'm studying
the way hclust (in the mva library) is built in R to see how things are
done and what I can modify. I ran f2c on the hclust.f file (so I could
read it in a language I know!) and there is one thing I don't quite
understand about the way it gets called and the way it returns values.
That Fortran function gets called in
2007 Nov 28
2
Clustering
Hello all!
I am performingsome clustering analysis on microarray data using
agnes{cluster} and I have created my own dissimilarity matrix according to a
distance measure different from "euclidean" or "manhattan" etc. My question
is, if I choose for example method="complete", how are the distances
between the elements calculated? Are they taken form the dissimilarity
2003 Apr 28
4
plot(pam.object) error with R-1.7.0 on Red-Hat 8.0 i686
I don't know if there is some fault in compiling or a bug of the new
R-1.7.0 version:
cl.pam.2 <- pam(as.dist(1-cor(mel.data)),2)
plot(cl.pam.2)
perform a right partitioning and silhouette plot on the old R-1.6.2
instead
"Error in clusplot.default(x$diss,...... ;
x is not numeric"
is the output on the new R-1.7.0.
Same platform: RH8.0 i686.
Some suggestions?
A.S.
2017 Apr 17
6
doubt
I added a linux server to the Active Directory domain, I realized that the
samba-winbind package uses the smb.conf file, but I also need to use the
same linux server with shares, if I install the samba package, this package
use the smb.conf file. Is there a solution?
Then i have problem with 2 services.
Example
systemctl services:
smb.service
winbind.service
My system is Centos 7.
--
2008 Mar 03
1
silhouette plot for kmeans result
Dear All,
Is there any existing code for plotting silhouette for kmeans clustering
results?
Many thanks!
Linda
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2009 Jun 29
0
Naive knn question
Dear list,
I have two dissimilarity matrices, one for a training data set which I then
clustered using PAM. The second is a diss matrix for a validation data set
(an independent field sample). I have been trying to use knn to distinguish
distances between the validation data set and the 6 mediods of the training
data defined by using PAM.
I continue to get error messages in regards to either the
2009 Feb 18
0
Index-G1 error
I am using some functions from package clusterSim to evaluate the best clusters layout.
Here is the features vector I am using to cluater 12 signals:
> alpha.vec
[1] 0.8540039 0.8558350 0.8006592 0.8066406 0.8322754 0.8991699 0.8212891
[8] 0.8815918 0.9050293 0.9174194 0.8613281 0.8425293
In the following I pasted an excerpt of my program:
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 =
2004 Jun 29
1
PAM clustering: using my own dissimilarity matrix
Hello,
I would like to use my own dissimilarity matrix in a PAM clustering with
method "pam" (cluster package) instead of a dissimilarity matrix created
by daisy.
I read data from a file containing the dissimilarity values using
"read.csv". This creates a matrix (alternatively: an array or vector)
which is not accepted by "pam": A call
2009 Nov 15
1
Problem building package for R 2.10.0 on Mac OS X
Hi
I have submitted a package (rioja) to CRAN. It checks OK for all R versions and OS's except r-release-macosx-ix86 where it fails when checking the examples. Specifically, it fails because R can't find the package vegan which is needed in a function. Here is the snippet from the check results:
### Begin snippet
checking examples ... ERROR
Running examples in 'rioja-Ex.R'
2005 May 30
2
How to access to sum of dissimilarities in CLARA
Dear All ,
Since dissimilarity is one of quality measures in clustering , I'm trying to access to the sum of dissimilarity as a whole measure. But after running my data using CLARA I obtain :
1128 dissimilarities, summarized :
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.033155 0.934630 2.257000 2.941600 4.876600 8.943700
But I can not find the sum of dissimilarity.How can i
2008 Aug 01
2
Exporting data to a text file
HI R users
With clara function I get a data frame (maybe this is not the exact word,
I'm new to R) with the following variables:
> names(myclara)
[1] "sample" "medoids" "i.med" "clustering" "objective"
[6] "clusinfo" "diss" "call" "silinfo" "data"
I want to
2017 Apr 17
2
doubt
Hi Luiz...
I think you just misunderstood the concept of Samba...
You can indeed you samba to make both task... Just join your samba box to
AD and be happy.
2017-04-17 13:26 GMT-03:00 Luiz Guilherme Nunes Fernandes via samba <
samba at lists.samba.org>:
> Well, i need join 1 server Linux in Active Directory, i need too, create
> one domain in samba for shared printers with cups.