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

Version 1.0.4.0 (3,96 KB) von Marco Cococcioni
A fast implementation of the well-known fuzzy c-means clustering algorithm
5.0
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1,3K Downloads
Aktualisiert 3. Jul 2019

Lizenz anzeigen

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!!

Zitieren als

Marco Cococcioni (2024). 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. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019a
Kompatibel mit R2011a und späteren Versionen
Plattform-Kompatibilität
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Version Veröffentlicht Versionshinweise
1.0.4.0

Added two demos.
1.0.3.0

Little code polishing
1.0.2.0

A minor improvement in the description of the function.
1.0.1.0

Added more comments to the code
1.0.0.0

Uploaded the picture!