https://github.com/acil-group/ddvfa

Distributed Dual Vigilance Fuzzy ART - Companion MATLAB Code

https://github.com/acil-group/ddvfa

Science Score: 10.0%

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    Links to: researchgate.net
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Keywords

adaptive-resonance-theory clustering clustering-algorithm hierarchical-clustering
Last synced: 6 months ago · JSON representation

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Distributed Dual Vigilance Fuzzy ART - Companion MATLAB Code

Basic Info
  • Host: GitHub
  • Owner: ACIL-Group
  • License: apache-2.0
  • Language: MATLAB
  • Default Branch: master
  • Homepage:
  • Size: 20.5 KB
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  • Stars: 3
  • Watchers: 5
  • Forks: 2
  • Open Issues: 0
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Topics
adaptive-resonance-theory clustering clustering-algorithm hierarchical-clustering
Created over 7 years ago · Last pushed over 6 years ago

https://github.com/ACIL-Group/DDVFA/blob/master/

# DDVFA #

### Distributed Dual Vigilance Fuzzy ART - Companion MATLAB Code: ###

* If you make use of this DDVFA code please cite the following paper

[1] L. E. Brito da Silva, I. Elnabarawy, and D. C. Wunsch II, "Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence," 
Neural Networks. To appear.

and refer to this Applied Computational Intelligence Laboratory (ACIL) Github repository as

[2] L. E. Brito da Silva, I. Elnabarawy, and D. C. Wunsch II, "Distributed Dual Vigilance Fuzzy ART," 2019. 
[Online]. 

Available: https://github.com/ACIL-Group/DDVFA * The data sets used in the experiments section of the Distributed Dual Vigilance Fuzzy ART paper are available at: 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 * The "main_example.m" file contains an example of usage of the code provided.

Owner

  • Name: Missouri S&T Applied Computational Intelligence Laboratory
  • Login: ACIL-Group
  • Kind: organization

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