ffcmw: The Fastest Fuzzy C-Means in the West!

A fast implementation of the well-known fuzzy c-means clustering algorithm


Updated Wed, 03 Jul 2019 14:46:13 +0000

View License

When you need to clusterize data, fuzzy c-means is an appealing candidate, being it more robust and stable than the k-means clustering algorithm. This implementation is faster than that found in the Fuzzy Logic Toolbox (fcm.m). In addition, you can run it without having to buy the FL Toolbox. With this entry I want to stimulate the involvment of other users, to further speedup it and with the ultimate goal to eventually find the TRUE fastest fcm in the West!!

Cite As

Marco Cococcioni (2023). ffcmw: The Fastest Fuzzy C-Means in the West! (https://www.mathworks.com/matlabcentral/fileexchange/53029-ffcmw-the-fastest-fuzzy-c-means-in-the-west), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with R2011a and later releases
Platform Compatibility
Windows macOS Linux
Find more on Fuzzy Logic Toolbox in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes

Added two demos.

Little code polishing

A minor improvement in the description of the function.

Added more comments to the code

Uploaded the picture!