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Purpose: updated the core chapter

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Elena Fedotova 2011-04-07 20:29:59 +00:00
parent 07d19c2c6f
commit ef06694779
3 changed files with 481 additions and 485 deletions
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566
modules/core/doc/basic_structures.rst
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modules/core/doc/clustering.rst
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@ -10,15 +10,15 @@ kmeans
.. 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)

390
modules/core/doc/operations_on_arrays.rst
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