ffcmw: The Fastest Fuzzy C-Means in the West!
Updated Wed, 03 Jul 2019 14:46:13 +0000
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!!
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
Platform CompatibilityWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.