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

버전 1.0.4.0 (3.96 KB) 작성자: Marco Cococcioni
A fast implementation of the well-known fuzzy c-means clustering algorithm
5.0
(4)
다운로드 수: 1.3K
업데이트 날짜: 2019/7/3

라이선스 보기

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!!

인용 양식

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. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2019a
R2011a 이상 릴리스와 호환
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버전 게시됨 릴리스 정보
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!