Fast kmeans Algorithm Code

版本 1.7.0.0 (2.4 KB) 作者: ankit dixit
A Very fast and efficient Implementation for kmeans clustering of an Image or Array.
5.0
(11)
6.4K 次下载
更新时间 2014/1/10

查看许可证

This code uses MATLAB's Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array.

Comparison.
1. Faster than MATLAB's internal kmeans function.
2. Consistant Output than internal kmeans.
3. 100% convergence.
4. Very efficient for color image segmentation in L*a*b* color space.
5. Very easy to understand and can be easily modified according to requirement.

Hope you will like it. i am waiting for your reviews and comments.

引用格式

ankit dixit (2024). Fast kmeans Algorithm Code (https://www.mathworks.com/matlabcentral/fileexchange/44598-fast-kmeans-algorithm-code), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2012a
兼容任何版本
平台兼容性
Windows macOS Linux
致谢

启发作品: Sparsified K-Means

Community Treasure Hunt

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

Start Hunting!

版本 已发布 发行说明
1.7.0.0

Change in output mean
1.6.0.0

These code supports color image as input and returns a segmented labeled image as output.
1.5.0.0

Minor Changes.
1.2.0.0

Now return Clustered Image at Output!!!...I will put kmeans for color clustering in next update :-)
1.0.0.0