Particle Competition and Cooperation (PCC) Python implementation
MSc Caio Carneloz made his Python implementation of the Particle Competition and Cooperation (PCC) model available on GitHub (pycc). Check it out if you want to use the algorithm on your data.
The MATLAB implementation is also available on GitHub, including a version with the main loop compiled in C (MEX) for faster execution.
The Particle Competiton and Cooperation original article is available here, and the accepted manuscript is available here.
Other articles and their respective implementation are available in the Publications section. If you need the code for the algorithms in other articles that are not available yet, please contact me and I’ll do my best to make it available as soon as possible.
Particle Competition and Cooperation (PCC)
Fabricio Breve
Fabricio Breve received his bachelor's degree from the Methodist University of Piracicaba, Brazil in 2001, his master's degree from the Federal University of Sao Carlos, Brazil in 2006, and his Ph.D. from the University of Sao Paulo, Brazil in 2010, with a collaborative period at the University of Alberta, Canada. He is currently an associate professor at Sao Paulo State University, Brazil. His research interests include machine learning, pattern recognition, image processing, artificial neural networks, complex networks, and nature-inspired computing.
Permanent link to this article: https://www.fabriciobreve.com/2019/12/05/particle-competiton-and-cooperation-pcc-python-implementation/
