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Transience GSOM implemented in Python. Supplementary code for the publication "Hierarchical Two-Stream Growing Self-Organizing Maps with Transience for Human Activity Recognition".

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Transience Growing Self-Organizing Map

Inspired by the topography preserving Self-Organizing Map (SOM) proposed by Kohonen, we introduce our novel adaptation - Growing Self-Organizing Maps with Transience.

Required Modules

  • Python 3
  • scipy
  • tqdm

Getting Started

The supplementary code repository provides the generalized python implementation of the algorithm, that can be used for dual-stream unsupervised classification. The algorithm was explained using the example Zoo dataset in the example folder.

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Transience GSOM implemented in Python. Supplementary code for the publication "Hierarchical Two-Stream Growing Self-Organizing Maps with Transience for Human Activity Recognition".

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