similar to: consensus trees/groups from clustering

I use Samba 3.0.2rc2 on Suse 9.0 (heimdal 0.6-68) as a Domainmember for File -and Printservices (about 100 Users). The Linuxbox ist added to the ADS, the User are mapped through winbindd. Everything works.. The I upgraded to Samba 3.0.2 and if I start the daemon, after a while follow Error occured if a Domainclient will connect to the Sambabox: [2004/02/13 13:33:43, 1]

We run a Hosting farm behind a bridge/iptables firewall setup running Gentoo with kernel 2.4.20-gentoo-r6, connected to a dual 15Mbps international internet pipe / , as this: Net Pipe --------- eth1 Bridge/Firewall eth0 -------- Internal Hosting Network lately we have been looking at htb to somehow control excessive usage from the users behind, but in our implementation there seems to be an

Dear All: I'm a newbie to R and chemometrics. Now I'm trying apply bclust on fuzzy c-means like this: >bc1 <- bclust(iris[,1:4], 3, base.centers=20,iter.base=100, base.method="cmeans") Committee Member: 1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)Erro r in bclust(iris[, 1:4], 3, base.centers = 20, iter.base = 100, base.method =

Hi All, Just want to make sure, in function "bclust", do the following argument only have one option? argument "dist.method" has one option "Euclidian"; argument "hclust.method" has one option "average"; argument "base.method" has one option "kmeans". Thank you! [[alternative HTML version deleted]]

Hi everyone, Currently i'm trying to understand the bagged clustering algorithm, bclust {e1071}. When I run the given example in the help file (as below) data(iris) bc1 <- bclust(iris[,1:4], 3, base.centers=5) plot(bc1) and plot the bclust object, 2 graphs are produced. The first is a dendrogram, but what is the second plot? The axes are not labelled and what do the two

Hello everybody, I have a problem with the commando of boxplot -bclust. http://127.0.0.1:13155/library/e1071/html/boxplot.bclust.html > data(iris) > bc1 <- bclust(iris[,1:4], 3, base.centers=5) Committee Member: 1(1) 2(1) 3(1) 4(1) 5(1) 6(1) 7(1) 8(1) 9(1) 10(1) Computing Hierarchical Clustering > boxplot(bc1) Warnmeldungen: 1: In if (x$datamean) { : Bedingung hat Länge > 1 und

Hi All, Could you please help with the error I get from the following codes? > Library(cluster) > data(iris) > bc1 <- bclust(iris[,2:5], 3, base.method="clara", base.centers=5) Then I got: "Committee Member: 1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) Error in bclust(iris[, 2:5], 3, base.method = "clara",

Dear all, I have a problem with the function "bagged clustering" of package e1071. When I try to run the example of bagged clustering with the iris data : data(iris) bc1 <- bclust(iris[,1:4], 3, base.centers=5) I got the following message error : Loading required package: class Committee Member: 1(1) 2(1) 3(1) 4(1) 5(1) 6(1) 7(1) 8(1) 9(1) 10(1)Error in bclust(iris[, 1:4], 3,

Hi All, I run function "kmeans" to cluster a matrix. But when the matrix size is big enough, it keeps saying "did not converge in 10 iterations". Could you explain what it means and if the result is wrong? And the interesting thing is sometimes this warning happens when the sample size is around 51200 x 6, sometimes it happens around 30000 x 6. Does the warning related

Hi All, For the function "bclust"(e1071), the argument "base.method" is explained as "must be the name of a partitioning cluster function returning a list with the same components as the return value of 'kmeans'. In my understanding, there are three partitioning cluster functions in R, which are "clara, pam, fanny". Then I check each of them to

Hello, I'm trying to Compile Samba with ADS support on Solaris 8. I have installed without any problems: /opt/cifs/bdb -> .bdb-4.2.52 /opt/cifs/heimdal -> .heimdal-0.6.3 /opt/cifs/openldap -> .openldap-2.1.25 /opt/cifs/openssl -> .openssl-0.9.7e /opt/cifs/samba -> .samba-3.0.9 and I'm configuring samba with: LDFLAGS="-L/opt/cifs/openldap/lib

Hi, I have the following problem. I wanted to get a matrix of scatterplots and I used pairs. I wanted to add the line y=x in each plot and I created a panel function for this scope. I used points and abline in the following way: ## put y=x in each plot panel.lin<- function(x, y) { points(x,y, pch=21, bg=par("bg"), col = "black",cex=2)

Hi guys, I'd like to know if there is a consensus about linking to personal websites on the personal wiki page every new user gets in the wiki. I maintain several games in the AppDB and created a wiki page recently describing some tricks for AppDB maintainers. I also created a personal wiki page, describing what I am doing on wine, what my email address is and where one can found my blog.

I see in the archives that using a common extension for markdown has been discussed. Has an official consensus ever been reached? Thanks -- Brett

Hi, I'm new to this list, sorry if my question is off-topic - I already see some controversy around a related question last month, "Universal syntax for Markdown". I'm wondering whether among the many extensions and flavors of markdown there are any extensions that support "Highlighting" of specific portions of content - not in the sense of code highlighters,

Dear All, I have a list of models(1000) which have variable scores from 20 different method. I would like to rank models using consensus approach based on high scores from different methods.Is there any function available in R for this purpose? I will appreciate any pointers in this regard. Thank you very much in Advance, Mallika

Hi, I have a very large dataset of 3008 individuals and 800 numerical variables. In fact it is a table of 3008 36-monthes multivariated time series that I would like to classify with an unsupervised algorithm I had a look at the function kkmeans of e1071 package, which seems to be a kernel weighted version of the algorithm algorithm, and the bclust from the same package which does bootstrapping

Repeatedly people have asked how to pass arguments by reference in R. Now package "ref" is on CRAN, which provides two referencing methods: Functions ref(), deref() and friends conveniently allow to pass parameters "by reference" instead of "by value". This can be useful in memory critical applications but requires a more careful programming style to track the

Repeatedly people have asked how to pass arguments by reference in R. Now package "ref" is on CRAN, which provides two referencing methods: Functions ref(), deref() and friends conveniently allow to pass parameters "by reference" instead of "by value". This can be useful in memory critical applications but requires a more careful programming style to track the

Hello, first i want to express very much hate to all of you, and i hope you die soon. that is because of all the spam i get into my mailbox since i wrote you. therefore, i like you to apologise, and hang yourself right away, or be hanged. greets, me -- GMX ProMail (250 MB Mailbox, 50 FreeSMS, Virenschutz, 2,99 EUR/Monat...) jetzt 3 Monate GRATIS + 3x DER SPIEGEL +++