similar to: Selecting input and output variables in clara (cluster-package)

Maybe the following article is of interest for you (co-authored by P.J. Rousseeuw, like the book you mentioned): http://www.jstatsoft.org/v01/i04/paper/clus.pdf -Heinrich. > -----Urspr?ngliche Nachricht----- > Von: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] Im Auftrag von Fucang Jia > Gesendet: Donnerstag, 11. Dezember 2003 14:37 > An:

Hello list, I am new to R, so if the question is rather silly, please ignore it. I was wondering wether it would be possible to use the models generated by pam, clara and the like as predictors? Scanning through the available documentation shed no light (for me) upon the subject. Regards, Renald

Resumes can be sent to Sujatha.gurumurthy at intel.com<mailto:Sujatha.gurumurthy at intel.com> LLVM Software engineer at Intel,CA(Santa Clara or Folsom) In this position, you will be responsible for designing and developing highly competitive OpenCL (Open Compute Language, a new industry standard for heterogeneous data and task parallel computing across GPU's and CPU's). You will

Hello everyone I am trying to use CLARA method for finding clusters in my spatial surface temperature data and noticed one problem. My data are in the form lat,lon,temperature. I extract lat,lon and cluster number for each point in the dataset. When I plotted a map of cluster numbers I found empty areas in the map. The point is that the number of points that were assigned a cluster number are

Greetings, I have had good success using the clara() function to perform a simple cluster analysis on a large dataset (1 million+ records with 9 variables). Since the clara function is a wrapper to pam(), which will accept known medoid data - I am wondering if this too is possible with clara() ... The documentation does not suggest that this is possible. Essentially I am trying to

Hi everyone I have a question about clustering. I've managed using CLARA to get a clustering analysis of a large data set. But now I want to find which is the right number of clusters. The clara.object gives some information like the ratio between maximal and minimal dissimilarity that says (maybe if lower than 1??) if a cluster is well-separated from the other. I've also read something

Hi everybody, just a quick reminder that the Xen Hackathon is in Oracle, March 6-8, Santa Clara, CA, USA. We have originally planned for about 25 people, but already we have 14 people signed up. If you are planning to attend please sign up quickly, such that I get a feeling for the number of attendees. I can then go back to Oracle and see whether we can accommodate more people than we

Greetings, Experimenting with the cluster package, and am starting to scratch my head in regards to the *best* way to standardize my data. Both functions can pre-standardize columns in a dataframe. according to the manual: Measurements are standardized for each variable (column), by subtracting the variable's mean value and dividing by the variable's mean absolute deviation. This

Folks, I''m happy to report that dates have been finalized for the next Xen Summit: November 14-16 2007; Santa Clara CA, USA Sun Microsystems have kindly agreed to host the event at their Santa Clara campus. The plan is to start at 1pm on Wednesday the 14th, then run until lunchtime on Friday. The next steps are to put together a program committee and send out a formal Call For

Folks, I''m happy to report that dates have been finalized for the next Xen Summit: November 14-16 2007; Santa Clara CA, USA Sun Microsystems have kindly agreed to host the event at their Santa Clara campus. The plan is to start at 1pm on Wednesday the 14th, then run until lunchtime on Friday. The next steps are to put together a program committee and send out a formal Call For

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

I need informations about the clara routine. The on-line doc say that the argument stand is a logical, indicating if the measurements in x are standardized before calculating the dissimilarities. Measurements are standardized for each variable (column), by subtracting the variable's mean value and dividing by the variable's mean absolute deviation. If we note STAND = TRUE, I suppose that

Dear all, I'm trying to estimate clusters from a very large dataset using clara but the program stops with a memory error. The (very simple) code and the error: mydata<-read.dbf(file="fnorsel_4px.dbf") my.clara.7k<-clara(mydata,k=7) >Error: cannot allocate vector of size 465108 Kb The dataset contains >3,000,000 rows and 15 columns. I'm using a windows computer

if this is in smb.conf >[global] > workgroup = LOCAL > realm = local.thisismycompany.com then you have a problem. realm needs to be in CAPS Louis >-----Oorspronkelijk bericht----- >Van: peter at serbe.ch [mailto:samba-bounces at lists.samba.org] >Namens Peter Serbe >Verzonden: donderdag 22 januari 2015 10:29 >Aan: samba at lists.samba.org; jeff at henze.us

hi, i've setup wine 0.9 on ubuntu 5.1 but it does not work. what i get is: err:module:load_builtin_dll failed to load .so lib for builtin L"winex11.drv": /usr/lib/libSM.so.6: undefined symbol: IceGetPeerName ESC(BESC) 0ESC[?1049hESC[1;24rESC[m^OESC[4lESC[?7hESC[HESC[2Jfixme:ttydrv:TTYDRV_GetBitmapBits (0x1a4, 0x7bc4f224, 128) : stub fixme:ttydrv:TTYDRV_GetBitmapBits (0x1a0,

hi, i'm running smaba 3.0.4 with share level user and domain logon. as a first test i've created a direcotry using windows explorer. now i try to assing a group to this dir. when i click OK i get a messeage that tells me, that i'm not permited to do this. samba log shows: ==> log.smbd <== [2004/08/27 16:39:17, 1] smbd/service.c:make_connection_snum(619) pc48006

hi, i've a problem with samba 3.0.2. there is one windows ME client which used to work with out any problems. now, as soon as the user connects (sharelevel: user, or share - i've tried both) on smbd is forked which causes 90 to 100% cpu load. when i stop samba (smbd/nmbd) this proces does not die i can only get rid of it whit a kill -9. with this no data can be transfered from or to

hi, i've stup samba 3 as a PDC with ldap as sam backend. everything works as expected - but: the profiles. i've to migrate a w2k pdc to samba. to migrate the profiles i've copied them using "profiles" at he "my computer" proerties. at the first sight it seems to work but my problem is that the profiles oviousely are not writen back to the server at the end of a

hi, i've a problem with a windos 98 client. there is one linux samba server an one single windows 98 client. as soon as the clinet logs on to samba a dmbd is forked which causes 100% cpu load. as the level 10 logs are quite large and the ml does not allow mails of that size i've put them on a webserver: http://www.mhcsoftware.de/smb/log.smbd http://www.mhcsoftware.de/smb/log.nmbd

hi, i want to use samba 3.0.5 as PDC for w98, w2k, XP with windows acl's. so, i've a few questions: - is there a comprehensive doc describing this (i know the std. samba docs) - do i need a filesystem supporting acl's (xfs) to get this ? if the server is used by win clients only. (no nfs) - if i need a special fs, which one is to be prefered ? TIA -- Matthias Henze