similar to: clara - memory limit

I have "small" problem ... with the cluster library each time I try to use the "agnes","pam","fanny" functions with more than 20000 elements I get the following error: >Error in vector("double", length) : negative length vectors are not allowed >In addition: Warning message: >NAs introduced by coercion But with the clara

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

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

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

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

Hola. Yo en vez de utilizar análisis cluster que impliquen distancias, probaría con un kmedias o con un pam (partition around medoids) pero utilizando muestras, la función clara de la librería cluster puede ayudarte. Pego el details de la ayuda de 'clara' Details clara is fully described in chapter 3 of Kaufman and Rousseeuw (1990). Compared to other partitioning methods such as pam,

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

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

El inconveniente con un K-medias, es que se tiene que se tiene que pre definir el número de segmentos, pero eso es algo con lo q no cuento. La solución de Javier me parece q sería la única opción. Atte. Ricardo Alva Valiente -----Mensaje original----- De: R-help-es [mailto:r-help-es-bounces en r-project.org] En nombre de javier.ruben.marcuzzi en gmail.com Enviado el: miércoles, 29 de abril de

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

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

Hi there, In the description of command "pam", it mentions "For datasets larger than (say) 200 observations". Now my dataset is a "54732 by 5" dataframe named "test". When I try to run pam(test,4),it shows " cannot allocate vector of length 1497768547". Is it because the row too big that it can't handle? Thank you!

Buen aporte?excelente!! Atte. Ricardo Alva Valiente De: Jose Luis Cañadas Reche [mailto:canadasreche en gmail.com] Enviado el: miércoles, 29 de abril de 2015 12:51 PM Para: Alva Valiente, Ricardo (RIAV); 'javier.ruben.marcuzzi en gmail.com'; R-help-es en r-project.org Asunto: Re: [R-es] cantidad de datos Podrías hacer varios kmedias con diferente número de clusters y comprobar como

I have patched astcc.agi with the HUP patch, but it still hangs from time to time. Asterisk SVN-branch-1.2-r25165M built by root @ vpbx on a x86_64 running Linux on 2006-05-07 00:31:09 UTC bye Ronald

Hi, I would like to know how to enable samba to use the same user/passwords that those that exists in the linux machine. Best regards, Nestor Mata Cuthbert

Hi, My local server is running CentOS 7. The machine has two NICs and is acting as a gateway. For DHCP and DNS, I'm using Dnsmasq. I have a strange little problem with local hostname resolution. Before going into more details, here's my configuration. [root at nestor:~] # ifconfig enp2s0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500 inet 192.168.0.2 netmask

Hi all, I have a dataset where each point is assigned to a class A, B, C, or D. Each point is also assigned to a study site. Each study site is coded with a number ranging between 1-100. This information is stored in the vector studySites. I want to run randomForests using stratified sampling, so I chose the option strata = factor(studySites) But I am not sure how to control the number of

Hello Asterisk People, I am having trouble connecting asterisk to a huawei SoftX3000 Switch, i can succesfully connect other softphones like Zoiper, but when it comes to Asterisk SIP Client, the system doesn't authenticate, i have the following configuration: peer: 10.220.0.2 username: 4857768 password: 4857768 the configuration is as follows: in the general section: register =>