similar to: Probleme with Kmeans...

Hello, I discovered SAGA, an interesting free GIS, a few days ago and now, I would like to use it from within R 2.6.2 using the RSAGA package. I read the documentation for this package and thought that I understood it correctly for trying to call some of the SAGA modules. For getting the information on the usage of and arguments required by the SAGA command line "Import Binary Raw

I have to solve a clustering problem. My first step is to determinate the number of clusters, that's why I 'm using the Calinski index ( [tr(b)/(k-1)]/[tr(w)/(k-1)] ) which i try to maximize to have the best number of clusters. A function is already implemented in R to calculate this index : clustIndex(cl,x, index="calinski") where cl is the result of a clustering method ,

Dear Users, I use Sgeostat to calculate co variogram (function est.variogram with two variables). If i inverse the 2 variables in the functions, the co variogram change! Normaly it is symmetric, isn't it? Someone could me explain why, or give me an idea to calculate co variogram in a easy way... Thanks in advance Laurent ps : sorry for my english Laurent William Dubroca Centre de

Hi, How can one unload a file in Ruby on Rails? It?s where the user must select a file on the desktop PC and upload it via the web browser. I also need the type / extension of the file along with its size before upload proceeds. Kind Regards, Lennie De Villiers -- No virus found in this outgoing message. Checked by AVG Free Edition. Version: 7.1.375 / Virus Database:

Hi, Where can I find Rails web hosting? I wish to get a domain name + web hosting. Kind Regards, Lennie De Villiers OpenMind Connections Website: HYPERLINK "http://www.openmindconnections.co.za/"www.openmindconnections.co.za Win-Ads: HYPERLINK "http://www.win-ads.co.za/"www.win-ads.co.za ? Online Advertisement Coming Soon! -- No virus found in this

dear all, I would like to center and scale some columns of a data frame (these include NAs) according to the levels of an index (list of factors from the same data frame). I tried to code it using for loops but gave up. I guess there is a straightforward way to achieve this: any hint welcome! thanks a lot thomas -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

Dear all, I'm importing some data (with read.table, file ".txt") but I have some problem: R truncates my numeric data at 2 digits during the importation... It's the first time that I see that. Thanks for an answer. David

Sorry, to solve your question I had tried: data(faithful) kmeans(faithful[c(1:20),1],10) Error: empty cluster: try a better set of initial centers But when I run this a second time it will be ok. It seems, that kmeans has problems to initialize good starting points, because of the random choose of these starting initial points. With kmeans(data,k,centers=c(...) the problem can be solved.

Hi, I''m interested in triggering SMS alerts from my Rails app (hosted on Dreamhost) for key events or errors. Any recommendations re whether there is a free SMS service to enable this? Or else a cheap service? Also whether there is a rails plugin to make this easy? Tks Greg --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to

Hi, I recently started using Centos on the server (Red Hat at work) and i thought you guys could use some extra manpower to help the wiki grow. I can write some documents on occasion that can be put on the wiki. My login : vincentvdk Let me know something... King Regards, -- Vincent Van der Kussen http://www.vanderkussen.org -------------- next part -------------- An HTML attachment was

Well, I have experience running Centos/Red Hat servers and i have some stuff about Kickstart, Nagios,... So i could contribute to docs involving Centos on the server. Vincent. On Wed, Dec 3, 2008 at 6:00 PM, <centos-docs-request at centos.org> wrote: > Send CentOS-docs mailing list submissions to > centos-docs at centos.org > > To subscribe or unsubscribe via the World

Hi All, I am using RGui 2.3.0 library(stats) and using K-means Clustering to cluster data.matrix.(DDset) DDset (matrix 575 x 2) Exams (character) Slot (numeric) AAW326 35 BWA345 45 ............... ..... ZXE 453 67 DDset[,2] [1] 29 37 24 7 22 22 21 24 26 31 39 21 17 7 24 37 26 33 7 31 39 29 24 20 2 [26] 40 8 16 1 31 6 32 2

Dear All, Is there any existing code for plotting silhouette for kmeans clustering results? Many thanks! Linda [[alternative HTML version deleted]]

Dear R, Can't I cluster a dataset into k clusters where k is exactly the number of observations? I have version 12.2 installed. See this example > a <- matrix(1:100, 20) > kmeans(a, 20) Error: number of cluster centres must lie between 1 and nrow(x) This is a bit ad-hoc but I known R from version 2.12 allows number of clusters to be one. So I guess allowing number of clusters to be

Dear helpers I'm sorry to insist but I still think there is something wrong with the function kmeans. For instance, let's try the same small example: > dados<-matrix(c(-1,0,2,2.5,7,9,0,3,0,6,1,4),6,2) I will choose observations 3 and 4 for initial centers and just one iteration. The results are > A<-kmeans(dados,dados[c(3,4),],1) > A $cluster [1] 1 1 1 1 2 2 $centers

I am trying to cluster some binary data using k-means . As the regular "kmeans" available from stats package in R does'nt provide the option to change the distance method. I was wondering there is any package available to specify type of distance measure to be used in k means clustering in R. Especially distances like "Jaccard" which is good for binary data.

Hello, I have been trying for a few days to do kmeans on a matrix of data which I populate from java. Here's my code: String[] Rargs = {"--vanilla"}; Rengine re = new Rengine(Rargs, false, null); System.out.println("Rengine created, waiting for R"); // the engine creates R is a new thread, so we should wait until it's // ready if

Dear all, I need to know in which number of iterations the kmeans converge each time I run it. Any idea how to do it? Thank you for your attention, Rui

Hi R users! I have a bit of a problem with using an hierarchical clustering algorithm: a<-c(1:15) b<-rep(seq(1:3), 5) c<-rnorm(15, 0,1) d<-c(sample(1:100, 15, replace=T)) e<-c(sample(1:100, 15, replace=T)) f<-c(sample(1:100, 15, replace=T)) data<-data.frame(a,b,c,d,e,f) q<-data.frame(data$d, data$e, data$f) q<-scale(q) What i want to do is to use an

Hi All, A question from a newbie using R 2-5-0 on windows XP. Why is it that kmeans clustering with apparently the exact same parameters behaves so differently between the two following examples : > cl1 <- kmeans(subset(pointsUXO15555, select = c(2:4)), 10) Takes about 2 seconds to deliver a result > cl1 <- clust(subset(pointsUXO15555, select = c(2:4)), k=10,