opencv kmeans returns wrong result - c++

Question

I'm trying to Cluster ten two dimensional points with the OpenCV kmeans. The Code looks like this:
vector<Point2f>data( 10 );
data[0] = {118.90323, 1088.7419};
data[1] = {143.5, 1064.5};
data[2] = {110, 1054};
data[3] = {662, 645};
data[4] = {650, 625.5};
data[5] = {94, 363};
data[6] = {60, 360};
data[7] = {103.97369, 315.71054};
data[8] = {70.5, 313};
data[9] = {1466, 278.55554};
cout << "data:" << data << endl;
Mat labels;
int cluster_number = 4;
TermCriteria criteria = TermCriteria( CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 40, 0.1 );
Mat centers;
kmeans(data, cluster_number, labels, criteria, 1, KMEANS_RANDOM_CENTERS, centers);
cout << "centers:" << centers << endl;
cout << "labels:" << labels << endl;
The output is:
data:
[118.90323, 1088.7419; 143.5, 1064.5; 110, 1054; 662, 645; 650, 625.5; 94, 363; 60, 360; 103.97369, 315.71054; 70.5, 313; 1466, 278.55554]
centers:
[1.9113665e-38, 2.4802983e-43; 0, 0; 118.90323, 1088.7419; 0, 0]
labels:
[2; 0; 0; 0; 0; 0; 0; 0; 3; 1]
This is obviously wrong. I would like to have the labels
[0,0,0,1,1,2,2,2,2,3]
Thank you very much for your help!!

Answer 1

This test works for me:
void main()
{
float data[10][2]=
{{118.90323, 1088.7419},
{143.5, 1064.5},
{110, 1054},
{662, 645},
{650, 625.5},
{94, 363},
{60, 360},
{103.97369, 315.71054},
{70.5, 313},
{1466, 278.55554}};
Mat points(10,2, CV_32FC1,*data);
cout << points << endl;
Mat labels, centers;
int k =4;
cv::kmeans(points,k, labels,TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0),3, KMEANS_PP_CENTERS, centers);
std::cout << "labels: " << labels << endl;
std::cout << "centers " << centers << endl;
cv::waitKey(0);
getchar();
}