similar to: MPI implementations of fanny or cmeans

----- Forwarded message from Don Armstrong <don@donarmstrong.com> ----- Date: Thu, 30 Sep 2004 16:19:41 -0700 From: Don Armstrong <don@donarmstrong.com> Resent-From: Don Armstrong <don@donarmstrong.com> To: submit@bugs.debian.org Subject: Bug#274301: libflac4 segfaults on corrupt flac files Severity: normal Package: libflac4 Version: 1.1.0-11 Running ogg123 on

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

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

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>

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

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]]

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

I'm ploting a rather large number of points [~24,000] in two series with slightly different distributions. I would like to be able to effectively see where the two distributions overlap by setting the pen mode (or it's equivalent) to allow the overlapping portion to show up as a different color (or different shade). Unfortunatly, I couldn't find an option in par or postscript that

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

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

Dear All, My R version: 2.0.1 ; OS using: Linux. I install the package cluster by using install.packages("cluster"). After install it, it runs fine for function clara, but it does not work for function fanny. I did the following things: library(cluster) set.seed(21) x <- rbind(cbind(rnorm(10, 0, 0.5), rnorm(10, 0, 0.5)),cbind(rnorm(15, 5, 0.5), rnorm(15, 5, 0.5)),cbind(rnorm(

Full_Name: Guan-Hua Huang Version: 2.0.1 OS: Linux Submission from: (NULL) (140.113.114.123) I install the package cluster by using install.packages("cluster"). After install it, it runs fine for function clara, but it does not work for function fanny. I did the following things: library(cluster) set.seed(21) x <- rbind(cbind(rnorm(10, 0, 0.5), rnorm(10, 0, 0.5)),

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,

Hello List, My question is an elementary one. I have run a fuzzy kmeans cluster using FANNY to group freshwater fish assemblages. I then went in the field to validate that classification and have retrieved new assemblage data for a new suite of streams. Therefore I would like to use Predict to determine how well the original clustering fits the new data. However I have not figured out a

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

Hello, Could someone please let me know the procedure for determining the 'best' solution with regards to the number of clusters using the Fanny algorithm for computing fuzzy clusters? The function requires a specification of the number of clusters a priori, but I am interested in determining what number of clusters would result in the ideal fit with the data. Any help/advice/pointers to

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]

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Dear All: I'm a newbie to R and chemometrics. Now I'm trying apply bclust on fuzzy c-means like this: >bc1 <- bclust(iris[,1:4], 3, base.centers=20,iter.base=100, base.method="cmeans") Committee Member: 1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)Erro r in bclust(iris[, 1:4], 3, base.centers = 20, iter.base = 100, base.method =

** 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 .......... .......... .......... .......... .......... ..........