search for: bclust

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 th...

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) { : B...

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! [[al...

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", base.centers = 5): Could not find valid cluste...

...iduals and 800 numerical variables. In fact it is a table of 3008 36-monthes multivariated time series that I would like to classify with an unsupervised algorithm I had a look at the function kkmeans of e1071 package, which seems to be a kernel weighted version of the algorithm algorithm, and the bclust from the same package which does bootstrapping of kmean algorithm (bagging) I had the idea of combining these two functions, in fact using kkmeans in bclust parameters. What should I do ? Reducing dimension and then classify, or classifying only ? Should I use kkmeans only ? or bclust only ? I...

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, base.centers = 5) : couldn't find function "knn1" In addition: Warning message: The...

...rations". 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 to sample size or not? This also happens in "bclust". Thank you! [[alternative HTML version deleted]]

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 &qu...

...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 Added functions for bagged clustering, see help(bclust). o read.pnm() and write.pgm() have been removed from e1071, much improved versions can now be found in the new package pixmap. o Lots of documentation updates and bugfixes. o Support Vector Machine interface now upgraded to libsvm V. 2.31 featuring: - Multi-Class Classificati...

Hi, I wish to build consensus groups/tree from a set of bootstraps from a clustering algorithm such as hc or k-means, but can't find an R-function that does this. Does anyone know of an R procedure/function which allows one to build such consensus groups/tree .? Many thanks, Andrew ******************************************************************* Dr Andrew E Teschendorff Hutchison/MRC

...ld choose. Thank you! P.S.: List: Appropriate for large data set: clara: k-mean mclust: fits mixtures of Gaussians using the EM algorithm clue: implements ensemble methods for both hierarchical and partitioning cluster methods. cmeans: Fuzzy clustering bclust: bagged clustering hopach: a hybrid between hierarchical methods and PAM and builds a tree by recursively partitioning a data set. som: Self-organizing maps are available Not appropriate for large data set: (a) Hierarchical clustering: not appropriate for lar...

...tol.ac.uk> Subject: [R] Bagged clustering and fuzzy c-means To: r-help <r-help at stat.math.ethz.ch> Message-ID: <002b01c33be8$f4d5a740$8a2bde89 at CHO180> Content-Type: text/plain; charset="gb2312" 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 =...

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):