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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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SOM Strange plot Code with more than 14 Variable in modeling

I am doing some experiment to learn how SOM (Self Organizing Maps) works, I tried to apply the algorithm to Ionosphere datasets. and found out that the Code Plot model strangely behave (if applied more than 14 Variables).. Here is my snippets to…
Jovan
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Self Organizing Maps using GPU

Can anyone help me with python implementation of SOM architecture to run on GPU with minisom or sompy libraries? Is it possible with these libraries or are there any tensorflow implementation that can work on GPU? Any help would be much appreciated!
Nitish Kannan
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Self-organizing map: How to identify clusters from plots?

I've been learning about neural networks and most recently been trying out different clustering methods. But unlike KNN, GMM, or DBSCAN, there isn't a feature (in Matlab that I'm aware of) that identifies clusters for you. So I've been reading…
MLin
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Are there any difference initializing Self Organizing Map with random distribution and initialize using the first input to the network?

When initialize SOM with random distribution the network may converge correctly but not, when initialize with the input. Why ?
Ruchira
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R som package Kohonen - update example to version 3

I'm trying to get this example to work with version 3 of the Kohnonen R library. https://clarkdatalabs.github.io/soms/SOM_NBA I've tried to update the code there as came up with this, but it's not correct. I get most of the same results as the…
Oleg
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operands could not be broadcast together with shapes

I have used this code but it showing me error. Help me solve this. som=MiniSom(x=10,y=10,input_len=15,sigma=1.0,learning_rate=0.5) som.random_weights_init(x) som.train_random(data=x,num_iteration=100) from pylab import bone, pcolor, colorbar,…
user9451544
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Clustering of Histogram with (Py)Spark for Data Reduction

I want to cluster different probability distributions in the form of histograms. I have a dataset with >10 M observations. One observation has 5 different histrograms (> 100 feautures). The goal of the clustering is data reduction by creating a…
MosbyT
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R implementation of kohonen SOMs: prediction error due to data type.

I have been trying to run an example code for supervised kohonen SOMs from https://clarkdatalabs.github.io/soms/SOM_NBA . When I tried to predict test set data I got the following error: pos.prediction <- predict(NBA.SOM3, newdata =…
Kirill Klimenko
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How do I interpret the SOM weight positions plot?

I am a newbie to SOMs and am using the Matlab SOM package to examine sea level pressure over time. My 2D input array is (row x column): pressure (function of latitude and longitude) x time. When training is complete, and I plot the SOM weight…
Tim
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R Self Organized Maps - Predict new data with fitted unsupervised SOM

I am interested to predict a new data set from an unsupervised fitted SOM model, and am not confident i am on the right path. Appreciate your guidance Objective: To classify new data set with cluster groups previously fitted on training set. What I…
Choc_waffles
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Running Growing Self-Organizing Map(GSOM) GitHub Implementation failed with AttributeError: 'numpy.ndarray' object has no attribute 'iteritems'

I have got some codes of Growing Self-Organizing Map(GSOM) from GitHub (All required information for understanding the Mechanism of GSOM has described in the implementation's Documentation). I tried to run it in PyCharm version 2018.1.4 with the…
Saeed Mousazadeh
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Self Organizing Map to split datasets

I am trying to use Self Organizing Map to split datasets into training, validation and test sets. I created the SOM model, dimension1 = 10; dimension2 = 10; net = selforgmap([dimension1 dimension2],100,3,'hextop','linkdist'); [net, tr] =…
Neel
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SOM Data preperation

Good day. I am 3 month old in R and R-Studio but am getting the hang of things. I am implementing a SOM solution with 38k records/observations using Kohonen SuperSOM following Self-Organising Maps for Customer Segmentation using R. My data have no…
Cornelius Mostert
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RStudio - object not found - kohonen pack

I'm trying to write a script for som map. It comes from this tutorial. My problem is that Rstudio doesn't work. I have this code : require(kohonen) # Create a training data set (rows are samples, columns are variables # Here I am selecting a…
caroline
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GPO Link, Value does not fall within the expected range

got a function that links a GPO to an OU: using Microsoft.GroupPolicy; private void LinkTheGPO() { GPDomain domain = new GPDomain("city.dom"); string sOU = "LDAP://city/ou=room,ou=house,DC=city,DC=dom"; Som som = domain.GetSom(sOU);…
Khaled Rakhisi
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