我使用OpenCV s（Python）kmeans2函数对从一组图像中提取的一组SURF特征进行聚类。
cv.KMeans2(mat,CLUSTER_COUNT,labels,(cv.CV_TERMCRIT_ITER,100,1.0),centers = cent)
我在一组大约50000个功能上运行它，将CLUSTER_COUNT设置为2000。然而，我只得到253个非空的集群。其余集群没有分配任何功能。
我不确定OpenCV对K-Means的实现是什么样子的，但我会认为，当有一个空集群时，中心会被重新分配还是什么？
我这样称呼它有什么问题吗，还是这是预期的行为？
也许可以试试cv2.k表示更容易理解。如果问题仍然存在，请告诉我们。
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