search for: clusterize

Hello folks, I have a Filesystem that went R/O in one node but not in the second here is the output of the following command on the node with the R/O issue: fsck.ocfs2 -fn /dev/dm-23 Checking OCFS2 filesystem in /dev/dm-23: label: oraCRSMeta uuid: 71 df 25 70 8b 34 43 f8 a4 e7 cd 2c c5 66 84 27 number of blocks: 2209680 bytes per block: 4096

K-means recluster data with given cluster centers Dear R user, I have several large data sets. Over time additional new data sets will be created. I want to cluster all the data in a similar/ identical way with the k-means algorithm. With the first data set I will find my cluster centers and save the cluster centers to a file [1]. This first data set is huge, it is guarantied that cluster

hello, I'm running Ubuntu Breezy with the OCFS2 modules in the standard kernel. I installed ocfs2console and ocfs2-tools I've formatted a partition with ocfs2. But I can't add any node or mount the device(with the ocfs2console). because I get a "Unable to access cluster service" I can't find the cause nor the solution to this. root@lenaeja:~# /etc/init.d/o2cb status

Dear R user, I am a biochemist/bioinformatician, at the moment working on protein clusterings by conformation similarity. I only started seriously working with R about a couple of months ago. I have been able so far to read my way through tutorials and set-up my hierarchical clusterings. My problem is that I cannot find a way to obtain information on the rooting of specific nodes, i.e. of

Are there R packages that allow for dynamic clustering, i.e. where the number of clusters are not predefined? I have a list of numbers that falls in either 2 or just 1 cluster. Here an example of one that should be clustered into two clusters: two <- c(1,2,3,2,3,1,2,3,400,300,400) and here one that only contains one cluster and would therefore not need to be clustered at all. one <-

Hi, I am using fanny and I have estrange results. I am wondering if someone out there can help me understand why this happens. First of all in most of my tries, it gives me a result in which each object has equal membership in all clusters. I have read that that means "the clustering is entirely fuzzy". Looking at the graphics it is really difficult to understand how objects with so

Hi, I have a 2 nodes ocfs2 cluster running UEK 2.6.32-100.0.19.el5, ocfs2console-1.6.3-2.el5, ocfs2-tools-1.6.3-2.el5. My problem is that all the time when i try to run /etc/init.d/o2cb stop it fails with this error: Stopping O2CB cluster CLUSTER: Failed Unable to stop cluster as heartbeat region still active There is no active mount point. I tried to manually stop the heartdbeat with

Hi all, I am running a series of experiments where after manipulating my data I run several clustering algorithms (agnes, diana and a clustering method of my own) on the data. I wanted to determine which clustering method did the best job, so therefore I had defined my own quality measure using two criteria: compactness of the data within the clusters themselves and the amount of seperation

By default, o2cb fences the box by calling emergency_restart(). While this scheme works well in production, it comes in the way during testing as it does not let the tester take stack/core dumps for analysis. This patch allows user to dynamically change the fence method to panic() by: # echo "panic" > /sys/kernel/config/cluster/<clustername>/fence_method Signed-off-by: Sunil

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 <-

Ubuntu 14.04, drbd Hi On a drbd Primary node, when attempting to mount our cluster partition: sudo mount -t ocfs2 /dev/drbd1 /cluster we get: mount.ocfs2: Unable to access cluster service while trying to join the group We then call: sudo dpkg-reconfigure ocfs2-tools Setting cluster stack "o2cb": OK Starting O2CB cluster ocfs2: OK And all is well: Aug 22 13:48:23 uc1 kernel: [

Hello, I had a question regarding clustering using the agnes() function from the 'cluster' package. I was wondering if anyone knew how I can identify cluster points after running the agnes function. For example, I created a dataset with points randomly scattered around (0,0), (0,1) and (1,0). After clustering, the dendrogram shows all the clustered points and I get the ordering and

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, > >

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi everyone, another problem I did not find a solution for... I ran "o2cb configure" and configured a cluster named "ocfs2". Lazy me, I did not invent a new name. Now this cluster must be renamed to avoid confusion, the name has to change to "sapcluster". I changed /etc/ocfs2/cluster.conf to the new name and ran

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Dear list, I just tried to use the function cluster.stat in the package fpc. I just have a couple of questions about the syntax: cluster.stats(d,clustering,alt.clustering=NULL, silhouette=TRUE,G2=FALSE,G3=FALSE) 1) the distance object (d) is an object obtained by the function dist() on my own original matrix? 2) clustering is the clusters vector as result of one of the many clustering methods?

I want to make a cluster with two simple (INTEL SATA) pcs using CentOS, my question is? Is there something easiest than Linux RedHat Cluster Manager to make a cluster using CentOS with just two pcs? Regards, Israel

Dear R users, I'd like to ask u whether you know how to sort out the following: I'm trying to reproduce a dataset of clusters, and for that I need to build up a cluster index (inside a function) using the command "replicate" as follows: dataset<- function( clusters=100, cluster.size=50, outcome.mean=list(mean=3, sd=1), outcome.var=list(mean=0, sd=1), treat=1, unbal =

Hi David, It seems that I have misread your quorum options, so just ignore that from my previous e-mail. Best Regards, Strahil NikolovOn Dec 27, 2019 15:38, Strahil <hunter86_bg at yahoo.com> wrote: > > Hi David, > > Gluster supports live rolling upgrade, so there is no need to redeploy at all - but the migration notes should be checked as some features must be disabled first.

Hi all! I'm new to R and don't know many about it. Because it is free, I managed to learn it a little bit. Here is my problem: I did a cluster analysis on 30 observations and 16 variables (monde, figaro, liberation, etc.). Here is the .txt data file: