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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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Batch training in SOM?

I am trying to implement a general SOM with batch training. and i have doubt regarding the formula for batch training. i have read about it in the following…
Adithya Sama
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SOM: attributes vs changes

Suppose I have a trained SOM: mySom. I want to test its quality. An interesting paper gives a suggestion: using summary(mySom). Doing that it results: som map of size 5x5 with a hexagonal topology. Training data included; dimension is 1017 by…
Andrea Ianni
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How to avoid plotting of the title in SOM's plot.kohonen function

I am using plot function from the kohonen package in R. The function inherently produces title called "property plot" or whatever different plot I specify. I can change the name and customize it but I am not able to alter its size. I want to either…
Bharath Kumar
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Methods which are better or alternative to Self Organized Maps to get basic understanding/relationship of the data

I have been working on the concept of Self Organized Maps to get an understanding/ relationship of variables in any type of dataset and produce some heatmaps. Is there any other machine learning concept/method that can be used to perform an…
Bharath Kumar
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MATLAB Index exceeds matrix dimensions

So this is code from a book I am looking at done in Matlab. The model array M is initialized, Q is the norm of the difference of the input vector X and the best-matching model. M = rand(64,2); % initialization of a 64-model SOM array Q =…
CatOfTheCanals
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What does it mean counts plot in self organizing maps

I'm using the som function from kohonen package and I'm using this tutorial as a guide. som_model <- som(t(data_train_matrix), grid=som_grid, rlen=1, alpha=c(0.05,0.01), keep.data = TRUE, …
Jessica Medina
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Self organising map visualisation result interpretation

Using the R Kohonen package, I have obtained a "codes" plot which shows the codebook vectors. I would like to ask, shouldn't the codebook vectors of neighbouring nodes be similar? Why are the top 2 nodes on the left so different? Is there a way to…
kklw
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Linux uboot tftp - serverip constantly resets to my router's ip address

The setup: I have an i.mx53 SOM connected to a switch, which is connected to a router. My main Windows computer is also connected to the switch. The Windows computer is running a VMWare Ubuntu 12.04, where I develop my code for the i.mx53. The…
user2654735
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What significance does an activation pattern hold for SOMs?

SOM - Self Organized Map, every input dimension maps to all output nodes, nodes compete with each other for scoring - vector quantization. PCA and other clustering methods can be seen as simplified special cases of this process. There is only ever a…
John Stroni
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ruby gnuplot heatmap for Self Organizing Map outputs

I'm doing some experiments on SOM in ruby. After getting best match unit, my output is looking like that : x coordinate, y coordinate and distance from the best match unit I have 200 lines output. I want to make an heatmap for this output but…
julien h.
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Self Organizing Maps : number of neurons

I have recently come across Self Organizing Maps and I have the following queries: 1) How is the number of neurons related to the number of units (clusters)? 2) How can I extract the elements from a particular unit?
N01
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How to change the default maximum number of epochs (200) of self-organizing map training in MATLAB2014R

I have a large set of data (100,000 observations) and have been using Matlab2014R. I used the command: net = selforgmap([dimension1 dimension2]); But it seems that there is no options for me to change the default max epochs (200), which I suspect…
Yingyu Feng
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Finding neuron hits on self-organizing map programmatically

I've been using Matlab's toolbox for self-organizing maps, namely the newsom and related family of functions. I'm applying SOM clustering to a large set of documents, and I have used the plotsomhits(net, features) to visualize how many…
VHarisop
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SOMLearning() & GetWinner() function in AFroge.Net (Neural Nerworks)

I'm trying to train a DistanceNetwork with SOMLearning of MNIST DB (of handwritten digits). Each image represented as a 28*28 pixels vector (784 cells), and a label of 0-9. This is the initialization code: // Create network network = new…
Guy P
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How do you interchange the row and column of a matrix in MATLAB

I have an input data in Excel which has 2000 rows and 60 columns. I want to read this data into MATLAB but I need to to interchange the rows and the column so that the matrix will be 60 rows and 2000 columns. How can I do this in MATLAB, because…
Mola
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