Kohonen's Self-Organizing Map (SOM)
Background
The original paper written by Teuvo Kohonen in 1990 was one of the first neural network model capable of unsupervised learning.
Out of the different implementations of the algorithm, this one follows almost entirely the original paper. The update function is defined as
where
and is the current epoch.
Also, each neuron is connected to all the other ones, hence the map is a complete graph, where
is the number of neurons.
Example
Metadata
Release files for kohonen-som 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kohonen-som-0.0.1.tar.gz | 3.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kohonen_som-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.0 kB
Release files / kohonen-som-0.0.1.tar.gz
| Download URL | kohonen-som-0.0.1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
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Release files / kohonen_som-0.0.1-py3-none-any.whl
| Download URL | kohonen_som-0.0.1-py3-none-any.whl |
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| Size | 3.8 kB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6
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