cv::kmeans code snippet

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于 2011-05-30 18:11:00 发布

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本文提供了一个使用C++接口实现k-means聚类算法的具体示例，包括如何调用k-means函数、输出结果解析以及相关参数设置，旨在帮助开发者快速上手并节省时间。

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It was impossible for me to find in the Internet a sample of usage of kmeans with the new C++ interface.

So, as I finally made it, I thought that it would be a good idea to post it here hoping to save someone's time.

cv::Mat samples = (cv::Mat_<float>(8, 1) << 31 , 2 , 10 , 11 , 25 , 27, 2, 1);
cv::Mat labels, centers;

// double kmeans(const Mat& samples, int clusterCount, Mat& labels, TermCriteria termcrit, int attempts, int flags, Mat* centers)
double compactness = cv::kmeans(samples, 3, labels, cv::TermCriteria(), 2, cv::KMEANS_PP_CENTERS, &centers);

cout<<"labels:"<<endl;
for(int i = 0; i < labels.rows; ++i)
{
cout<<labels.at<int>(i, 0)<<endl;
}

cout<<"/ncenters:"<<endl;
for(int i = 0; i < centers.rows; ++i)
{
cout<<centers.at<float>(i, 0)<<endl;
}

cout<<"/ncompactness: "<<compactness<<endl;