The aim of the algorithm is to cluster n points (samples or observations) into k groups in which each point belongs to the cluster with the nearest mean. This process continues until there is no change in the clusters or the algorithm has reached the limit of iteration.
The algorithm has 3 values of interest: the number of points, k (number of clusters) and the number of iterations.
The code was designed in a way you can watch the movement of the cluster at each iteration.
If you are facing any trouble you can contact me by email.
my email is: orramirezba@ittepic.edu.mx
인용 양식
Orlando Ramirez Barron (2024). k-means clustering (https://www.mathworks.com/matlabcentral/fileexchange/71796-k-means-clustering), MATLAB Central File Exchange. 검색됨 .
MATLAB 릴리스 호환 정보
플랫폼 호환성
Windows macOS Linux카테고리
태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!버전 | 게시됨 | 릴리스 정보 | |
---|---|---|---|
1.0.0 |