similar to: cutree using a vector for h giving meaningless results

I'm exeperiencing a strange ntlm_auth problem: I'm running two domain with a trust; the trusting one, (EUFEMIA with the PDC Beatrice) uses the WINS facility of the trusted one (LETTERE, PDC Alice). Users of EUFEMIA and LETTERE alike have a successful logon to Beatrice. LETTERE users do authenticate in Beatrice with ntlm_auth. EUFEMIA users do not: beatrice:/home# ntlm_auth --username

Package: xen-api Severity: wishlist Tags: l10n patch Hi. Please find attached the Italian translation of xen-api debconf messages proofread by the Italian localization team. Please include it in your next upload. Thanks, Beatrice -------------- next part -------------- A non-text attachment was scrubbed... Name: it.po Type: text/x-po Size: 1935 bytes Desc: not available URL:

Hi, I'm trying to set up dovecot to do pop3 from Eudora, but it keeps breaking on authentication attempts using plain auth. When I snoop the connection with tcpflow, here's what I see: 128.174.246.068.00110-062.107.004.050.49653: +OK dovecot ready. 128.174.246.068.00110-062.107.004.050.49653: +OK dovecot ready. 128.174.246.068.00110-062.107.004.050.49653:

Hello, I have a question. I creat a PDF file with four rows and two cols. Is it possible to: -create a plot regions with different hights (example: rows 1 & 2-4) -ro center an image in the whole width (example: rows 4) Thank's a lot. Felix example: -------- Title -------------------------------- |Text |Text | |Text |Text | --------------------------------- | | | | | |

Hi, rsync was running against filesystems /disk5 and /disk7 to back them onto remote server (172.16.101.4) using the following script: if [ `ps -ef | grep -v grep | grep ::d5 | /usr/bin/wc -l` -eq 0 ] then rm -f /etc/rsync5.log echo " --- Disk5 --- starts `date`" > /etc/rsync5.log /usr/local/bin/rsync -a --recursive --compress /disk5/ 172.16.101.4::d5 >> /etc/rsync.log echo

Hello, I was implementing the llvm_any_type in my intrinsic def int_csa_xxx : Intrinsic<[llvm_any_ty], [llvm_i32_ty]>; as the following in its corresponding builtins in Builtins.def: BUILTIN(__builtin_xxx, "v.", "nt") the "t" was sufficient here to not perform any type checking. The type checking was handled in CGBuiltin.cpp. This was working until

On a dry run, rsync displays a speedup value calculated from the total size of the source file data and the amount of data sent over the connection, but this value is meaningless and grossly misleading because the file data is not sent over the connection. Example: [matt@mattlaptop2 test]$ rsync -avi -n ~/eclipse/releases/eclipse-SDK-3.3-linux-gtk.tar.gz . sending incremental file list

I have been attempting to do some work using hclust, and have run into a (possibly subtle) problem. The background is that I constructed a dissimilarity matrix ``d1'' (it involved something called the ``Jaccard similarity coefficient''; I won't go into the details unless requested). I then did d2 <- as.dist(d1) try <- hclust(d2,method=ward)

When I use the function cutree(), the numbers of the clusters are not in the same order as the plotted dendrogram. Is there any way of sorting them so that they match the tree? Is it possible to plot a dendrogram horizontally, preferably with the branches to the right? This would enable some practical composite plots, e.g. labels that were an entire table with several columns of information, or

I've been using heatmap(), hclust(), and cutree(), and I'm trying to figure out the column labels of the left (as opposed to the right) cluster. Using cutree(x, k=2), I get two clusters labeled 1 and 2. How do you figure out if cluster 2 is the one associated with the left cluster on the heatmap (instead of manually going to the heatmap)? Thanks, Andrew Andrew Yee, MD MGH Cancer Center

Full_Name: Anja von Heydebreck Version: 1.3.0 OS: Alpha Unix Submission from: (NULL) (141.14.19.61) Hi, I repeatedly obtained meaningless results from the function 'cutree' in the 'mva' package, when the argument 'h' was greater or equal to the maximum height occuring: > library('mva') > y [,1] [,2] [,3] [,4] [1,] 0 1 -1 1 [2,] 0 -1

Hi Everyone, I'm trying to use cutree to get the clusters after hclust. What I used is: mycluster<-cutree(cnclust,h=0.5) Now, my problem is, how can I get the actual clusters? Thanks! Best, Baoqiang Cao

Good afternoon, After cuting a hierarchical tree using cutree(), how to check correspondances between classes and branches? This is what we do: srndpchc <- hclust(dist(srndpc$x[1:1000,1:3]),method="ward") #creation of hierarchical tree plclust(srndpchc,hmin=20000) #visualisation srndpchc20000 = cutree(srndpchc,h=20000) #returns 4 classes table(srndpchc20000 ) srndclass20000 =

I've found that while cutree() and rect.hclust() make the same classes for a given height in the dendrogram, the actual labeling of the classes is different. For example, both produce the same 4 classes but class 1 according to cutree() is class 4 according to rect.hclust(). Would it be possible that future versions provide the same labeling? rect.hclust() is useful to display the classes

Basic question: Is it correct to assume that when using cutree to set the # clusters (say k=4), cutree determines the clusters by the largest distances among all potential clusters? I've read the R help for cutree and am using it to define the number of groups to obtain Dunn Index scores (using clValid library) for cluster analysis (using Euclidean Distance and Ward's method) More

Hi, I have the distance matrix computed and I feed it to hclust function. The plot function produces a dense dendrogram as well. But, the cutree function applied does not produce the desired list. Here is the code x=data.frame(similarity_matrix) colnames(x) = c(source_tags_vec) rownames(x) = c(source_tags_vec) clust_tree=hclust(as.dist(x),method="complete") plot(clust_tree)

Hi! I just discovered that cutree() and cut.dendrogram() do not assign the same cluster numberings when called on the same tree. More specifically, cutree() assigns cluster numbers by order of appearance in the data, while cut.dendrogram() sorts clusters by height (see example below). I guess this is for historical reasons? I'm hit by this difference when I want to get a vector of cluster

Hi Everyone, I am doing hierarchical clustering analysis and have a question regarding "cutree". I am doing things like this: hc <- hclust(dist(X)) a <- cutree(hc, k=2) Basically "a" is a vector containing the assignments of 1 or 2 for each sample. May I know how "cutree" decides to assign 1 and 2's to each sample (in other words, how clusters 1 and 2

Hello, I would like to cut a hclust tree into several groups at a specific similarity. I assume this can be achieved by specifying the "h" argument with the specified similarity, e.g.: clust<-hclust(dist,"average") cut<-cutree(clust,h=0.65) Now, I would like to draw rectangles around the branches of the dendrogram highlighting the corresponding clusters, as is done by

I have the following code that perform hiearchical clustering and plot them in heatmap. __ library(gplots) set.seed(538) # generate data y <- matrix(rnorm(50), 10, 5, dimnames=list(paste("g", 1:10, sep=""), paste("t", 1:5, sep=""))) # the actual data is much larger that the above # perform hiearchical clustering and plot heatmap test <- heatmap.2(y)