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Questions tagged [som]

A self-organizing map (SOM) is a type of artificial neural network that is trained using unsupervised learning to produce a map reprensenting the input space of the training samples.

A self-organizing map (SOM) is a type of artificial neural network that is trained using unsupervised learning to produce a map representing the input space of the training samples. Also, some supervised and semi-supervised SOMs exist.

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In the R's Kohonen package for self organizing maps, what does the `codes` value of the som object represent?

I'm generating a self-organizing map in R using the kohonen package. However, when looking at the documentation, I cannot find a clear understanding of what the codes property of the som object represents. The documentation only states: codes: a…
Kyle Ivoy
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Image Segmentation WIth Self Organizing Map in Matlab

i'm making image segmentation with self organizing map. the image segement by 3 cluster. Sample image is : and i have type the matlab code like this bellow : clear; clc; i=imread('DataSet/3.jpg'); I = imresize(i,0.5); cform =…
GangOne Style
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Self Organising Map puts all training data at one coordinate

just coded this SOM based on the explination on the ai-junkie website, it seems to place all the input vectors in one single common coordinate, what am I doing wrong? I suspect its the training loop as that was the one part that the site was unclear…
BinkyNichols
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dimensionality reduction algorithms

I have an data sheet with almost 2000 input parameters and 4 output parameters. I am to optimize the input parameters to define the output I am not sure whether the input parameters are linearly related so I am looking for a non linear…
shr m
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Quantization of a measure of error in SOM

I want to count quantization error (qe) in my SOM model using R. This is the code I've tried: data(yeast)## take only complete x <- yeast[[3]][apply(yeast[[3]], 1, function(x) sum(is.na(x))) == 0,] yeast.som <- som(x, somgrid(5, 8,…
Hanima
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Self Organized Maps (SOM) neighborhood and weight updates

I am studying Self Organized Map (SOM) in the Neuron Nets field. So I have 2 questions: 1) Why neighborhood size is decreasing? 2) why not update just the winner? What would happen in this case? Thanks in advance
kopsti
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R ggplot grid of rectangles, borders top, bottom, left right individual colors

I am trying to make an image like the below (generated in MATLAB) in R. I need to use ggplot because I need to add rectangles to the "grid" one by one and set the background of each rectangle according to a matrix that has intensities from 0 to 1.…
lrthistlethwaite
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need implementation of Fuzzy Kohonen Networks (Fuzzy self organizing maps)

I have the SOM toolbox with the original implmentation of a Kohonen network. I am looking for a fuzzy kohonen network implmentation. Does anyone have it or know where I can get it?
iteratorr
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How to fix "Undefined function 'network' for input arguments of type 'double'" error?

i am trying to run the following commands x = simplecluster_dataset; net = selforgmap([8 8]); net = train(net,x); view(net) y = net(x); classes = vec2ind(y); from SOM Example in Matlab R2015a, but it is continuously showing me an error `Error in…
Nomiluks
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How do i know which inputs are clustered together after training using SOM in matlab?

I am new to Self-Organizing Map (SOM) and had been learning and testing it out using Matlab. I would like to know how do i retrieve inputs that are clustered (similar) together using matlab?
xiang jie Chua
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Extracting the HTML colour code for each node of a Kohonen plot

I am using the following script to plot a SOM and I would like to extract the HTML colour code corresponding to each node. It doesn't seem to be in the som_model s3 object. Any…
ulrich
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which column in matlab selforgmap output corresponds to which neuron of the SOM map

I used selforgmap for pattern recognition. After training finished i calculated the network's output of the whole data and I got a logical matrix. I want know how selforgmap: 1- numbers the neurons (i mean from 1 to N, while N equals the total…
Issak Sdu
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SOM for Detection

I would like to know how I can use SOM for disease detection. Given a lung cancer dataset, how can SOM be applied for detection, there are certain terminologies like, sensitivity, specificity and accuracy percentages....are there ways to calculate…
Tim
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weka apply 2 or more algorithms som,j48, naive bayes

I'm using weka and I have been trying apply j48 on SOM (self organizing map), I get the cluster/instance of SOM and it puts in j48 but this is not working so, I search online and no examples of combine 2 algorithms appears I need to apply SOM then…
user3624703
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som toolbox + prediction missing valuse and outliers

i wanna use SOM toolbox (http://www.cis.hut.fi/somtoolbox/theory/somalgorithm.shtml) for predicting missing values or outliers . but i can't find any function for it. i wrote a code for visualizaition and getting BMU(Best maching unit) but i'don't…
Mehdi
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