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fixed several typos, including the old ones from ticket #854

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Vadim Pisarevsky
2011-05-21 20:17:45 +00:00
parent 57e5fabf8f
commit f2a337f990
12 changed files with 80 additions and 121 deletions
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doc/opencv1/c/core_clustering.rst
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@@ -59,7 +59,7 @@ KMeans2
corresponding labels are returned by the function. Basically, the
user can use only the core of the function, set the number of
attempts to 1, initialize labels each time using a custom algorithm
( ``flags=CV_KMEAN_USE_INITIAL_LABELS`` ) and, based on the output compactness
( ``flags=CV_KMEANS_USE_INITIAL_LABELS`` ) and, based on the output compactness
or any other criteria, choose the best clustering.
@@ -199,7 +199,7 @@ SeqPartition
:param labels: Ouput parameter. Double pointer to the sequence of 0-based labels of input sequence elements
:param is_equal: The relation function that should return non-zero if the two particular sequence elements are from the same class, and zero otherwise. The partitioning algorithm uses transitive closure of the relation function as an equivalency critria
:param is_equal: The relation function that should return non-zero if the two particular sequence elements are from the same class, and zero otherwise. The partitioning algorithm uses transitive closure of the relation function as an equivalency criteria
:param userdata: Pointer that is transparently passed to the ``is_equal`` function