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[
Matlab]
hill.zip
This is a climbing method clustering algorithm realize, in the hope that everyone useful.
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AI-NN-PR Upload User：
cmjcmj2008 Size：
3K
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[
Matlab]
oLitU9hX.rar
This is a clustering algorithm, which contains the optimal cluster center initialization.
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AI-NN-PR Upload User：
szsunhome Size：
3K
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[
Matlab]
K-MEANS.rar
MATLAB based on the k-means algorithm better solved the problem of image classification clustering
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matlab Upload User：
whbkdz Size：
1K
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[
Matlab]
antyy.rar
... surrounding the ant colony algorithm and its application on how to solve the nonlinear integer programming problem, the issue of continuity of V, clustering problems, mixed with other algorithms, as well as convergence in more depth, systematic study.
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matlab Upload User：
att8001 Size：
5221K
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[
Matlab]
sss.rar
On the ant colony clustering algorithm matlab realize, for beginners it is helpful ~ ~
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Others]
ImageRgistration.rar
I think a very good image registration on the three articles. Feature points for matching the rapid clustering convex projection algorithm. Pdf Fourier transform nature of the self-alignment and its application in texture recognition and image ...
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Document Upload User：
yaojp0307 Size：
949K
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[
Matlab]
sambhare.rar
matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file
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Visual C++ (VC++)]
K-SA.rar
This document is a category K-means clustering and simulated annealing combination of hardware and software sub-algorithm. As we all know, the generic simulated annealing algorithm, this algorithm is the improvement of simulated annealing, a simpler SA ...
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kanwan888 Size：
65K
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[
Matlab]
IterHistDiv.rar
Classical iterative separation histogram clustering algorithm, the clustering algorithm based on image histogram, very suitable for many types of object segmentation, calculation of very fast
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[
Matlab]
k-means.rar
... analysis is the most commonly used cluster analysis, while the K-MEANS algorithm is commonly used in cluster analysis, the main idea is to set the number of under the multi-dimensional clustering (I make the three-dimensional space-point) vector cluster,
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AI-NN-PR Upload User：
malina Size：
6K
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