/som

Kohonen Self-Organizing Maps (SOMs) for dimensionality reduction, data embedding, and solving a variant of the travelling salesman problem.

Primary LanguageJupyter Notebook

som

Open In Colab

Data embedding and dimensionality reduction with Kohonen Self-Organizing Maps (SOMs). Using SOMs to find the topological ordering of animal species, to find the shortest distance path through cities, and for the dimensionality reduction, embedding and clustering of Swedish members of the parliament based on their votes.