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

Versione 1.0.4.0 (3,96 KB) da Marco Cococcioni
A fast implementation of the well-known fuzzy c-means clustering algorithm
5.0
(4)
1,3K download
Aggiornato 3 lug 2019

Visualizza la licenza

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!!

Cita come

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. Recuperato .

Compatibilità della release di MATLAB
Creato con R2019a
Compatibile con R2011a e release successive
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Fuzzy Logic Toolbox in Help Center e MATLAB Answers

Community Treasure Hunt

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

Start Hunting!

Versione Pubblicato Note della release
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!