similar to: Runtime error

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

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

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 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

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, 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

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: I have calculated the Silhouette score and Dunn score after hierarchical clustering for 3 clusters: #Distance measure d <- dist(USArrests, method = "euclidean") #Hierarchical clustering hc <- hclust(dist(USArrests), "ave") #calculating silhouette value for 3 clusters sil<- silhouette(cutree(hc, k=3), d) #calculating Dunn index for 3 clusters clus <- cutree(hc,

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 All, I am experimenting with using binary data (1, 0) in the kohonen package. I would like either 1 or 0 to be mapped in SOM, but the package gives me 1 or 0 (as expected), but something in between. I am not scaling the binary data, but still there are in-between values. Can anybody suggest a way to keep the data binary, even in the SOM plot? Thanks a lot. George

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

Hola, alguien me puede decir cómo descargar la librería "kohonen", pues lo he intentado con download.packages y no hay forma. No sé si es porque pongo mal el directorio de destino o porque esa librería esta dentro de otra y no la localizo. Ya he usado en otras ocasiones el comando download.packages y no me había dado problemas gracias [[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

hello, Following some mail exchange between Pierre-alain Mercier and yourself, we have tested a lot of SAMBA's configuration. Unfortunately, we still have troubles using SAMBA/AIIX 5.3/LDAP, and until now no solution has been found. Our question is : "is it necessary to use some specific SAMBA objects within LDAP ?" . See travce.log already sent to you by Pierre-Alain :

Hello R users, I'm using SOM() to cluster a gene expression data set the syntax i used was dataGrid <- c(somgrid(xdim = 3, ydim = 3, topo = c("rectangular","hexagonal"))) dataClusters <- SOM(dataMatrix, grid = dataGrid) plot(dataClusters) it seems that this works just fine but the thing i can't figure out is how to determine where each data point has been

Replying notes from Patrick Harrold <patrickh@nasco-inc.com>: > Anyway, I have this box(FreeBSD2.2.2) using a remote printer on an HP-UX > 10.10 system. It is all configured in the printcap, and works splendidly > from a command line. I can also see this printer when looking at the > samba workgroup. However, when I attempt to configure this as a Win95 > printer,

Dear list, I am running R2.11.1 on 32 bit windows. I am receiving messages as follows ... > require(car) Loading required package: car Error: package 'car' was built before R 2.10.0: please re-install it The package kohonen was another example. This failure appears to be fatal and not only affects the package concerned, but also all its dependents. Is there anything I can do at my

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)

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.

Howdy: I'm new to this samba stuff, but I've run across a problem that doesn't seem to be documented anywhere. It seems that OSR/2 clients (with all the M$ system updates; I already added the EnableClearTextPassword key) that have had their TCP/IP settings tweaked in the registry (eg, MaxMTU=576, TTL=32, RWIN added, etc) for DUN connections have mucho problems with a samba