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A PyPI python module for adaptive resonance theory (ART).

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adaptive_resonance

A PyPI python module for adaptive resonance theory (ART).

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This package is developed and maintained by Sasha Petrenko with sponsorship by the Applied Computationa Intelligence Laboratory (ACIL).

Leveraged Repositories

  • ACIL Organization GitHub
    • MATLAB
      • DDVFA: Companion MATLAB implementation of distrubuted dual vigilance fuzzy ART.
      • DVFA: Companion MATLAB code for Dual Vigilance Fuzzy ART
      • iCVI-toolbox: A MATLAB toolbox for incremental/batch cluster validity indices
      • CVIFA: Companion MATLAB implementation of validity index-based vigilance test fuzzy ART.
      • VAT-FA: Companion MATLAB code for VAT + Fuzzy ART.
      • BARTMAP-CF: Companion MATLAB code for BARTMAP-based collaborative filtering
    • Python
      • NuART-Py: An internal ACIL python package for ART neural networks.
      • DVHA: An python implementation of dual vigilance hypersphere ART.

Datasets

  1. UCI machine learning repository: http://archive.ics.uci.edu/ml

  2. Fundamental Clustering Problems Suite (FCPS): https://www.uni-marburg.de/fb12/arbeitsgruppen/datenbionik/data?language_sync=1

  3. Datasets package: https://www.researchgate.net/publication/239525861_Datasets_package

  4. Clustering basic benchmark: http://cs.uef.fi/sipu/datasets

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