Hello to everyone,
I'm trying to run the kmeans algorithm on a n-dimensional data.
I Have N points and each point have { x, y, z, ... , n } features.
my code is the following:
cv::Mat points(N, n, CV_32F);
// fill the data points
cv::Mat labels;
cv::Mat centers;
cv::kmeans(points, k, labels, cv::TermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS, 1000, 0.001), 10, cv::KMEANS_PP_CENTERS, centers);
the problem is that the kmeans algorithm run into a segmentation fault.
any help is appreciated
**Update:**
had made a mistake in the "fill the data points" so that I corrupts the memory
↧