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update readme
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SandroMartens authored Jan 26, 2022
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Expand Up @@ -19,11 +19,9 @@ labels = clusterer.fit(data).predict(data)
- scikit-learn

# Notes
Currently work in process

ToDo:
- Other methods of creating prototypes (neural gas?)
- Properly implement SOM arguments
- Other methods of creating prototypes (vector quantization, neural gas)
- Examples

[^1]: _A Local Density-based Simultaneous Two-level Algorithm for
Topographic Clustering_, Guénaël Cabanes and Younès Bennani,
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