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

版本 1.0.4.0 (4.0 KB) 作者: Marco Cococcioni
A fast implementation of the well-known fuzzy c-means clustering algorithm
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更新时间 2019/7/3

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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!!

引用格式

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. 检索来源 .

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版本 已发布 发行说明
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!