similar to: combining bclust and kkmeans

Hi, I am trying to pass initial cluster assignments to the kkmeans method<http://rss.acs.unt.edu/Rdoc/library/kernlab/html/kkmeans.html>of kernlab. It is not clear to me how I can set the parameter *centers* with "initial cluster centers" as stated in the documentation? thanks, --ahmed [[alternative HTML version deleted]]

Hi everyone, Currently i'm trying to understand the bagged clustering algorithm, bclust {e1071}. When I run the given example in the help file (as below) data(iris) bc1 <- bclust(iris[,1:4], 3, base.centers=5) plot(bc1) and plot the bclust object, 2 graphs are produced. The first is a dendrogram, but what is the second plot? The axes are not labelled and what do the two

Hello everybody, I have a problem with the commando of boxplot -bclust. http://127.0.0.1:13155/library/e1071/html/boxplot.bclust.html > data(iris) > bc1 <- bclust(iris[,1:4], 3, base.centers=5) Committee Member: 1(1) 2(1) 3(1) 4(1) 5(1) 6(1) 7(1) 8(1) 9(1) 10(1) Computing Hierarchical Clustering > boxplot(bc1) Warnmeldungen: 1: In if (x$datamean) { : Bedingung hat Länge > 1 und

Hi All, Could you please help with the error I get from the following codes? > Library(cluster) > data(iris) > bc1 <- bclust(iris[,2:5], 3, base.method="clara", base.centers=5) Then I got: "Committee Member: 1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) Error in bclust(iris[, 2:5], 3, base.method = "clara",

Hi All, Just want to make sure, in function "bclust", do the following argument only have one option? argument "dist.method" has one option "Euclidian"; argument "hclust.method" has one option "average"; argument "base.method" has one option "kmeans". Thank you! [[alternative HTML version deleted]]

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 =

Dear all, I have a problem with the function "bagged clustering" of package e1071. When I try to run the example of bagged clustering with the iris data : data(iris) bc1 <- bclust(iris[,1:4], 3, base.centers=5) I got the following message error : Loading required package: class Committee Member: 1(1) 2(1) 3(1) 4(1) 5(1) 6(1) 7(1) 8(1) 9(1) 10(1)Error in bclust(iris[, 1:4], 3,

Hello, I'm trying to use the package ttda, wich is involved in text analysis, for my own data about answers in a company survey. I've installed it, as well as ispell, but when trying to use an example: > zz <- file("stupid.txt", "w") # build a data file > cat("{comment - stupid data file} \n" , file = zz) > cat("<uci=1>

Dear all, I know that when using R, people should have a sufficient level in statistics. As well, I'm not a genius, when dealing with logistic regressions. I would like to construct ICs, IPs, for a logistic regression, but the point is I have just 41 observations. I had a look at the Design package and noticeably the lrm function, but I'm still not able to reduce the IC's, as I

I have seen, several times, dots (like this: "y ~." ) in formula descriptions, noticeably in R help. I am unable to see what it does correspond to. Any ideas ? -- --~~ Toulouse, Grenoble, Auch, Arcachon, B??ziers, Paris, Saragosse, L??vignac Sur Save, habitats naturel du Valdo. ~~-- < http://www.le-valdo.com>

'sodexquan' is an data frame of numeric variables with some missing values. I would like to approximate these missing values using some algorithm. I thereby chose the mix package. But when trying to run the 'prelim.mix' function (aka the function that will prepare the data for further calculations), R says: prelim.mix(truc,0) Error in as.integer.default(list(c(32, 52, 32, 27, 34,

Hi All, I run function "kmeans" to cluster a matrix. But when the matrix size is big enough, it keeps saying "did not converge in 10 iterations". Could you explain what it means and if the result is wrong? And the interesting thing is sometimes this warning happens when the sample size is around 51200 x 6, sometimes it happens around 30000 x 6. Does the warning related

I failed to build SJava dure to teh error below. Any ideas? # R CMD INSTALL -c SJava_0.68-0.tar.gz * Installing *source* package 'SJava' ... checking for java... /opt/j2sdk1.4.2_06//bin/java Java VM /opt/j2sdk1.4.2_06//bin/java checking for javah... /opt/j2sdk1.4.2_06//bin/javah Looking in /opt/j2sdk1.4.2_06/include Looking in /opt/j2sdk1.4.2_06/include/linux checking for g++... no

hi, as I'm using R at Dell (where I am working), I manage to install packages from web, but there is a web proxy, which is pretty boring. R asks me to enter an active directory login/password, that would normally auth me through the web proxy, but it doesn't work. I'm looking forward for your help. Sorry if I used bad english. Any ideas ? Laurent -- «Un peu d'internationalisme

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

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

Meilleurs Vœux pour 2002 : année de mémoire, de mobilisation, d'action, de justice et de sérénité - Appel au soutien moral et financier ======================== M. Habib HAIBI, 7, Aguesseau St. 69007 LYON - France Tél. 00 33 4 72 73 19 08 - Fax 00 33 4 78 61 39 27 Email : haibi@free.fr http://haibi.free.fr Je suis qualifié pour exprimer mes voeux pour le Nouvel An à tous les survivants

Meilleurs Voeux pour 2002 : année de mémoire, de mobilisation, d'action, de justice et de sérénité - Appel au soutien moral et financier ======================== M. Habib HAIBI, 7, Aguesseau St. 69007 LYON - France Tél. 00 33 4 72 73 19 08 - Fax 00 33 4 78 61 39 27 Email : haibi@free.fr http://haibi.free.fr Je suis qualifié pour exprimer mes voeux pour le Nouvel An à tous les survivants

Meilleurs Voeux pour 2002 : année de mémoire, de mobilisation, d'action, de justice et de sérénité - Appel au soutien moral et financier ======================== M. Habib HAIBI, 7, Aguesseau St. 69007 LYON - France Tél. 00 33 4 72 73 19 08 - Fax 00 33 4 78 61 39 27 Email : haibi@wanadoo.fr http://haibi.free.fr Je suis qualifié pour exprimer mes voeux pour le Nouvel An à tous les