similar to: How to create a cmeans plot

Hi all R-helpers!!! I have only one small question: Which visualisation method would you suggest for results of function cmeans {e1071}? Thanks! Branimir K. Hackenberger

I think the "cmeans" method in library(e1071) works better for large data sets as "fanny". (note,not for this data: fanny has also problems with standardized large data sets - here produce fanny the same memberships for all observations; cmeans works "correctly") Matthias > -----Urspr??ngliche Nachricht----- > Von: Bhaskar S. Manda [mailto:bhaskar at

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

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

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 .......... .......... .......... .......... .......... ..........

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

Hi All, For the function "bclust"(e1071), the argument "base.method" is explained as "must be the name of a partitioning cluster function returning a list with the same components as the return value of 'kmeans'. In my understanding, there are three partitioning cluster functions in R, which are "clara, pam, fanny". Then I check each of them to

In R 1.9.0 running under Solaris 2.9 on a SunBlade 100, with "Sun WorkShop 6 update 2 C++ 5.3 2001/05/15" as the C++ compiler, I just did > install.packages("e1071") The output includes these lines, which I have wrapped to fit nicely in mail: ** libs cc -I/users/local/lib/R/include -I/usr/local/include -KPIC -xlibmil \ -dalign -xO4 -c cmeans.c -o cmeans.o cc

Full_Name: Uwe F. Mayer Version: 2.9.1 OS: SunOS myhost 5.10 Generic_120012-14 i86pc i386 i86pc Solaris Submission from: (NULL) (216.113.168.130) Configuration problem with the creation of shared libraries: Compilation only succeeds if SHLIB_LDFLAGS="-shared" is added to the configure command line. This is likely due to a wellknown gcc-4 feature, in that gcc requires -shared and not

Hi, I am using fanny and I have estrange results. I am wondering if someone out there can help me understand why this happens. First of all in most of my tries, it gives me a result in which each object has equal membership in all clusters. I have read that that means "the clustering is entirely fuzzy". Looking at the graphics it is really difficult to understand how objects with so

Dear All, I am attempting to use the FANNY fuzzy clustering function in R (Kaufman & Rousseeuw, 1990), found in the "cluster" package. I have run into a variety of difficulties; the two most crucial difficulties are enumerated below. 1. Where is the 'm' parameter in FANNY? In _Finding Groups in Data: An Introduction to Cluster Analysis_ (1990) by Kaufman & Rousseeuw,