similar to: kohonen SOM

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 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 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

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

Hi, I'm trying to utilize the kohonen package to build SOM's. However, trying this on my data I get the error: "Argument data should be numeric" when running the som(data.train, grid = somgrid(6, 6, "hexagonal")) function. As you see, there is a problem with the data type of data.train which is a list. When I try to convert it to "numeric" I get the error:

I would really like some or any advice on how I can improve (or fix??) the following analysis. I hope I have provided a completely runnable code - it doesn't produce any errors for me. The resulting plot at the end shows a pretty poor correlation (just speaking visually here) to the test set. How can I improve the performance of the mapping and prediction? Here are some of the data

hi all, i would like to apply the kohonen 's algorithm (SOM). Somebody knows if there is an available script ? thanks -- ------- Olivier MARTIN -------- _______________________________ _______________________________ CEA 17, rues des martyrs LETI/DSYS/SCSI Bur 225 olivier.martin at cea.fr 04 76 88 47 61 (bur.) 04 76 88 57 87 (fax.) ---------------------- 06 08 67 93 42 (pers.)

HI, Dear R community, I am using the following codes to do the som. I tried to label the notes by the majority vote. either through mapping or prediction. I attached my output, the left one dont have any labels in the note, the right one has more than one label in each note. I need to have only one label for each note either by majority vote or prediction. Can anyone give some suggestions or

Dear R helpers I'm experimenting with the 'kohonen' package and have two questions. I've been following examples in the package manual and the paper from the Journal of Geostatistical software (October 2007, Volume 21, Issue 5.). I've set up a file with the 'animals' data (see attached file) which I used test a SOM routine I wrote in Fortran some years ago. The

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

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

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]]

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.

Does anyone know of any SOM library for R? or any stand alone freeware? A search from google returns SOM_PAK 3.1 developed at Helsinki University of Technology. Is there newer version? Jun -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

The (slow) SOM code can be found on my web page (towards the bottom) http://peabody.vanderbilt.edu/depts/psych_and_hd/faculty/wallern/ On Thu, 1 Mar 2001, John Aitchison wrote: > > 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

This was sent to me personally but was probably meant for R-help. -------- Original Message -------- Subject: Re: [R] Kohonen Package Date: Mon, 1 Mar 2010 14:45:13 +1000 From: Martin <labadz at gmail.com> To: ehlers at ucalgary.ca Hi Any idea if the kohonen package can produce umatrices with hexagons and component planes as found in various publications? Cheers Martin Martin Labadz

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

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, I would like to represent the treatment course of a subject with an arrow representing passage through time and various ticks, arrows, or bars representing treatments done to the patient along the arrow. I would like to generate this sort of schematic for each patient in a database taking information from the database such as time of treatment and type of treatment. Does anybody know how I

Hello, I would like to juxtapose two lattice graphs with common X axes such that the X axes line up. I am using plot right now but the edges are not neat and it would be nice if I could just draw 1 X axis and not both of them. Here is my code: upper<-bwplot(SignalUsed~as.factor(AllNormalHitsNamesCount),data=NmlOverviewArray2, xlab="", ylab="Intensity of Individual