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Some fixes for incorrectly documented parameters identified by rst_parser.py (Bug #1205)

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Alexander Smorkalov
2013-06-14 11:53:54 +04:00
parent 98f6a4a615
commit 8f7ba03ed2
7 changed files with 67 additions and 4 deletions
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8
modules/core/doc/clustering.rst
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@@ -17,12 +17,18 @@ Finds centers of clusters and groups input samples around the clusters.
:param samples: Floating-point matrix of input samples, one row per sample.
:param data: Data for clustering.
:param cluster_count: Number of clusters to split the set by.
:param K: Number of clusters to split the set by.
:param labels: Input/output integer array that stores the cluster indices for every sample.
:param criteria: The algorithm termination criteria, that is, the maximum number of iterations and/or the desired accuracy. The accuracy is specified as ``criteria.epsilon``. As soon as each of the cluster centers moves by less than ``criteria.epsilon`` on some iteration, the algorithm stops.
:param termcrit: The algorithm termination criteria, that is, the maximum number of iterations and/or the desired accuracy.
:param attempts: Flag to specify the number of times the algorithm is executed using different initial labellings. The algorithm returns the labels that yield the best compactness (see the last function parameter).
:param rng: CvRNG state initialized by RNG().
@@ -37,6 +43,8 @@ Finds centers of clusters and groups input samples around the clusters.
:param centers: Output matrix of the cluster centers, one row per each cluster center.
:param _centers: Output matrix of the cluster centers, one row per each cluster center.
:param compactness: The returned value that is described below.
The function ``kmeans`` implements a k-means algorithm that finds the