search for: soms

Good day everyone. I have a question concerning *ggobi* and *rggobi*package. I am using R version 2.13.2 and Ubuntu 11.04. I am new to ggobi and I'm reading the book *Interactive and Dynamic Graphics for Data Analysis *. The book was published 2007. My question is: how can I export a graph for *rggobi* to pdf to include it in latex. For example: I have lots of variables in ggobi and I need to

Good day everyone. I have a question concerning *ggobi* and *rggobi*package. I am using R version 2.13.2 and Ubuntu 11.04. I am new to ggobi and I'm reading the book *Interactive and Dynamic Graphics for Data Analysis *. The book was published 2007. My question is: how can I export a graph for *rggobi* to pdf to include it in latex. For example: I have lots of variables in ggobi and I need to

R version 2.9.2 (2009-08-24) - for windows > library(SOM) Error in library(SOM) : there is no package called 'SOM' Where can I get the SOM library from? Thanks in advance -- View this message in context: http://old.nabble.com/SOM-library---where-do-I-find-it-tp26415633p26415633.html Sent from the R help mailing list archive at Nabble.com.

Bug in "SOM" package in R. This simple code withot for loop runs:-------simple.r-------- library(som) A <- as.matrix(read.table("C:/code/h.txt", sep="\t", header=TRUE, row.names=1)) print(som(A,1,2)$visual) print(som(A,1,3)$visual) ---------------------------------------- The same code if inserted in for loop generates "Assertion failure" in

All, The kohonen predict function is returning NA for SOM predictions regardless of data used... even the package example for a SOM using wine data is returning NA's Does anyone have a working example SOM. Also, what is the purpose of trainY, what would be the dependent data for an unsupervised SOM? As may be apparent to you by my questions, I am very new to kohonen maps and am very grateful

I am trying to use SOM package to cluster some gene expression data. I got stuck with 2 questions and can't not find any documents to resolve these matters. I would really appreciate if anybody can shed some sort of light. Q1. I clustered the data using SOM function and plotted it using plot function. But I can't figure out how I can list the data elements belongs to different clusters. I

Hi all, I originally posted this to the bioconductor group, but maybe it's better suited to the r-help... I'm using som() to partition samples of gene expression data into clusters. The point is to classify control vs. experimental cases (sample clustering). The original matrix was 22283 x 8. The 8 samples have 4 controls and 4 experimentals. I transposed the matrix so that its dim

Hi. Three years ago, I've read the question of availability of SOM library for R using Kohonen's SOM_PAK in this mailing-list. This answer was no availability. And no package dealing with SOM in CRAN. Is this situation same? Could you tell me availability this library? Best Regards.

I am trying to understand how the SOM algorithm works using library(class) SOM function. I have a 1000*10 matrix and I want to be able to summarize the different types of 10-element vectors. In my real world case it is likely that most of the 1000 values are of one kind the rest of other (this is an oversimplification). Say for example: InputA<-matrix(cos(1:10),nrow=900,ncol=10,byrow=TRUE)

I have a data set with 10 variables, and about 8000 instances (or objects/rows/samples). In addition I have one more ('class') variable that I have about 10 instances for, but for which I wish to impute values for. I am a little confused how to go about doing this, mostly as I'm not well-versed in it. Do I train the SOM with a data object that contains just the first 10 variables

Hi all, I have a question about the SOM routine. You can either supply the initial representatives for the lattice yourself or else they are chosen randomly from the dataset. Is it possible to pass the random-seed as an argument somehow, when choosing the random initialisation of the lattice? As it is now, each time I run a SOM on a dataset with the same settings the resulting SOM will still

Is there an implementation of the SOM ('Self Organizing Map') procedure in R ? I am aware of the implementations of Sammon mapping, multidimensional scaling and, somewhat peripherally, principal curves and projection pursuit .. but not SOM per se as far as I can see. Am I missing something? --------------------- for anyone interesed in SOM I found Samuel Kaski's thesis

Hello everyone, I'm new to this list, so let me introduce myself: my name is Jonck van der Kogel and I am a graduate student at the Erasmus University of Rotterdam. I am currently working on my thesis which is on the use of artificial intelligence for large data-sets. To do an analysis of a certain data-set I want to use Kohonen's SOM algorithm. However, as I understand it, the SOM

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Hi All, I'm looking for some reference paper about SOM (self organizing map) algorithm. I tried the paper which is mentioned in the help page of function "som (package:som)": http://www.cis.hut.fi/research/papers/som_tr96.ps.Z But I can't open it for some reason. Could you please help me with it ? Thanks a lot! [[alternative HTML version deleted]]

somfunc<- function (file) { aa_som<-scale(file) final.som<-som(data=aa_som, rlen=10000, grid=somgrid(5,4, "hexagonal")) pdf(file="/home/cdu/changbin/file.pdf") #output graphic file. plot(final.som, main="Unsupervised SOM") dev.off() } I have many different files, if I want output pdf file with the same name as for each dataset I feed to the function

Hi All, I am still learning R, but making, IMO, great strides. I learned about Kohonen/Self-Organizing Maps in class and I would like to try to replicate some of the things we have seen in class. Below is my code. I am trying to create a u-matrix. In the documentation on page 9 it appears the type of plot, dist.neighbours should do the trick, however, I am getting an error: (Error in

Greetings... I'm struggling trying to set up a samba 3.0.23c PDC with ldap backend. The server is Fedora 5, OpenLdap version 2.3.19-4. I've got it so smbd and nmbd start properly and I can use a windows box and see the domain using srvmgr.exe and usrmgr.exe. I'm then able to signon from a windows XP computer with the command net use \\pdcserver\ipc$ /user:root rootpassword Some

Hi everybody! I try to implements Self-Organizing Maps with R and the Kohonen package. I have made an algorithm that try differents width and height. For each step, Silhouette index, Davies-Bouldin index and Dunn index are computed. However, there is always after severals minutes a *Runtime error* appears on the window: Microsoft visual c++ runtime library "this application has requested

Dear list, I read the SOM package manual but I don't understand how to perform (for example) 1) the SOM analysis on Iris data 2) with a visualization similar to that of figure 7 in http://www.cis.hut.fi/projects/somtoolbox/package/papers/techrep.pdf Any suggestion? Thanks in advance, Gianandrea -- View this message in context: