similar to: CLARA and determining the right number of clusters

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

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

Hello R users It's some time I am playing with a dataset to do some cluster analysis. The data set consists of 14 columns being geographical coordinates and monthly temperatures in annual files latitutde - longitude - temperature 1 -..... - temperature 12 I have some missing values in some cases, maybe there are 8 monthly valid values at some points with four non valid. I don't want to

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:

Moin, is there any possibility to choose the input variables which are involved in the analysis, " ..., and each column correspondends to a variable. ..." (R-Reference-Manual) or do I have to delete them from the data.frame? An then I'd like to get the original dataset with the classification of the cluster, at the moment i do it this way clusterFrame <-

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

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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 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

Dear Belle, That produce the similar situation. Thus I'm trying osync And the result are much present according to my test case And configuration are much streamline. However, I'm not sure how it can work with 2 DC or more... Thank You On Mon, Jun 22, 2015 at 9:05 PM, L.P.H. van Belle <belle at bazuin.nl> wrote: > Hai Min Wai Chan, > > I have tested it as shown in

Hello Min Wai Chan, ? Can you explain more about,, the DC1 will remove any emptey directory on DC1. tested it here, but that does not occure here. i can create empty directories on DC1, and these are synced to DC2. empty or not. ? ?DC1 will overwrite any users/group change on DC2? if setup correctly, your sysvol rights on DC1 and DC2 are the same.. ? i suggest you to the following. get the

Can anyone help me about this error? CMD (https://picasaweb.google.com/104972964932264920885/Wine?authkey=Gv1sRgCMvir7uOtqu7FQ#5612428588964078610)

Hi, I was thinking about bidirectional sync of sysvol and i've a question: ?What about DRBD?. You can create a disk partition in every node, create a DRBD cluster and then mount that partition on sysvol folder. The sincronization is bidirectional and in real time. For now i've not tested this option, but i've plans to start some tests. What is your opinion about this? Greetings!!

Dear Daniel, Klaus I've try that before But because of how samba work on the files. The Advise is No Without CTDB, you will just shoot yourself on the foot... On Thu, Jun 25, 2015 at 7:39 PM, Zerwes, Klaus <zerwes at rosalux.de> wrote: > Just some notes: > For master <-> master setup (bi-directional sync) you need AFAIK a cluster > filesystem. > I have no idea