文件名称:kmeans_fast_Color
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- 上传时间：2014-01-02
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文件大小：2.34kb
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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. -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.
Comparison.
1. Faster than MATLAB s internal kmeans function.
2. Consistant Output than internal kmeans.
3. 100 convergence. -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.
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下载文件列表
kmeans_fast_Color.m
license.txt
license.txt
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