.. c:function:: double kmeans( const Mat\& samples, int clusterCount, Mat\& labels, TermCriteria termcrit, int attempts, int flags, Mat* centers )
Finds the centers of clusters and groups the input samples around the clusters.
Finds centers of clusters and groups input samples around the clusters.
:param samples: Floating-point matrix of input samples, one row per sample
:param samples: Floating-point matrix of input samples, one row per sample.
:param clusterCount: The number of clusters to split the set by
:param clusterCount: The number of clusters to split the set by.
:param labels: The input/output integer array that will store the cluster indices for every sample
:param labels: The input/output integer array that stores the cluster indices for every sample.
:param termcrit: Specifies maximum number of iterations and/or accuracy (distance the centers can move by between subsequent iterations)
:param termcrit: Specifies the maximum number of iterations and/or accuracy (distance the centers can move by between subsequent iterations)
:param attempts: How many times the algorithm is executed using different initial labelings. The algorithm returns the labels that yield the best compactness (see the last function parameter)
