similar to: cmeans visualisation

Hi all R-helpers!!! I?m a Newbie to R and I have only one small question: Is there any possibility to plot a cmeans (package e1071) cluster result? Or any other possibility of visualisation like with the algorithm fanny? I couldn?t find any information how to create a plot with cmeans on the R help page. Thanks in advance! Christine

Hello, I need a Fuzzy C Means algorithm. I found some documentation about cmeans {e1071} at http://rss.acs.unt.edu/Rdoc/library/e1071/html/cmeans.html Does someone knows where I can find it? Thank you Rui [[alternative HTML version deleted]]

Pues no lo sé. Es algo del código de RandomForest, supongo. Quoting Jesús Para Fernández <j.para.fernandez en hotmail.com>: > U es un dataframe? > > Obtener Outlook para Android<https://aka.ms/ghei36> > > ________________________________ > From: R-help-es <r-help-es-bounces en r-project.org> on behalf of > Manuel Mendoza <mmendoza en mncn.csic.es>

Tuve que dejar, de momento, lo del "loop con matriz que cambia de nombre" por algo más urgente, y me salió otro problema. Hago un cmeans con el paquete e1071; cl<-cmeans(Data,i,20,verbose=F,method="cmeans",m=2) y me da este error: Error in apply(u, 1, which.max) : dim(X) must have a positive length. Estoy harto de usar esa línea de código, con dfs iguales a la

Could anybody explain this results? >sin(2*pi) -2.449213e-16 #should be zero >(10^16)*sin(log2(4)*pi) -2.449213 #should be zero too and explain what to do to correct this events? Thanks!!! Branimir K. Hackenberger

Hello, I am trying to install R packages under linux, some of the packages can not be installed and I got the following error, could anybody give me suggestion on where the problem is and how to fix it? Thanks-e > .libPaths() [1] "/usr/lib64/R/library" [2] "/usr/share/R/library" [3]

** save image Error in loadNamespace(i[[1]], c(lib.loc, .libPaths()), keep.source) : There is no package called 'class' Using 30 May 2004 developer version of R-1.9.0 trying URL `http://cran.r-project.org/src/contrib/e1071_1.4-0.tar.gz' Content type `application/x-tar' length 325388 bytes opened URL .......... .......... .......... .......... .......... ..........

Dear R-helpers! What it's means "Rank failure in Choleski decomposition" by using of function surf.gls {spatial}? Sincerely Yours Branimir K. Hackenberger

On Tue, 2015-04-21 at 11:46 -0600, Andy Jacobson (NOAA Affiliate) wrote: > Hi, > > I'm encountering trouble compiling caTools_1.17.1.tar.gz and > e1071_1.6-4.tar.gz on a Linux system using the Intel compiler suite. > 14 other packages I generally use installed without any trouble. I > notice both of these trouble packages have a C++ component, so I > wonder if that might

Hi Martyn, Thanks for your insight, that seems pretty direct. Unfortunately, I did not compile this version of R (it's on a large supercomputer system and this version of R was installed by the admins). Using "R CMD config", I see the following relevant settings: DYLIB_LD = icc -std=gnu99 DYLIB_LDFLAGS = -shared -openmp LDFLAGS = -L/opt/compilers/intel/cce/9.1.039/lib

Dear colleagues: Despite my best efforts, I have not been able to understand/overcome an error message I received while running the fclustIndex command in package e1071, which produces validity measures for the fuzzy c-means clustering algorithm. I am relatively new to R-- and still depend heavily on Rcmdr-- and so I apologize in advance if there is an obvious answer to my question:

Hi, I'm encountering trouble compiling caTools_1.17.1.tar.gz and e1071_1.6-4.tar.gz on a Linux system using the Intel compiler suite. 14 other packages I generally use installed without any trouble. I notice both of these trouble packages have a C++ component, so I wonder if that might be the issue. Below, there's information on my platform, compiler, and some diagnostic output showing

A new version of e1071 has been released to CRAN which should be much easier to install on a lot of platforms because reading/writing PNM images has been moved to the pixmap package, hence there are no longer dependencies on external libraries and no configure mechanism. For the authors, Fritz Leisch ********************************************************** Changes in Version 1.2-0: o

Hi, I'm using e1071 package to do fuzzy cluster analysis. My dataset (ra) has 5237 observations and 2 variables - depth and velocity. I used fuzzy cmeans to create 6 fuzzy classes. >ra.flcust6<-cmeans(ra,6,iter.max=100,verbose=F,dist="euclidean",method="cmea ns",m=1.7,rate.par=NULL,weights=1) I would like to calculate the value of all the fuzzy validity

Hello, I want to make a fuzzy classification from a dissimilarity matrix (calculated with daisy from package 'cluster'). I have tried to use fanny (package cluster) but I have the same problems than described in a previous message (http://tolstoy.newcastle.edu.au/R/help/05/05/4546.html) i.e. it always gives me two clusters in the results (even if k is different from 2) with the same

I've done a little digging, but I haven't been able to find an MPI or snow (or any other distributed processing) implementation of fanny (from cluster) or cmeans. Is anyone aware of some implementations or addons which I've missed? [I know of doi://10.1007/978-3-540-71351-7; but that's not for R] Don Armstrong [Currently not subscribed; M-F-T: set accordingly.] -- Certainly

Hi all, Version 0.2.2 of the googVis package has been released on CRAN and will be available from your local CRAN mirror in due course. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google. We presented our initial ideas on

Hi all, Version 0.2.2 of the googVis package has been released on CRAN and will be available from your local CRAN mirror in due course. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google. We presented our initial ideas on

Hi all, Version 0.2.4 of the googVis package has been released on CRAN and will be available from your local CRAN mirror soon. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google Since the last version a lot of work has been

Hi all, Version 0.2.4 of the googVis package has been released on CRAN and will be available from your local CRAN mirror soon. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google Since the last version a lot of work has been