moved the new docs from docroot to doc

doc/opencv1/py/core_clustering.rst

@@ -0,0 +1,60 @@
+Clustering
+==========
+
+.. highlight:: python
+
+
+
+.. index:: KMeans2
+
+.. _KMeans2:
+
+KMeans2
+-------
+
+`id=0.682106387651 Comments from the Wiki <http://opencv.willowgarage.com/wiki/documentation/py/core/KMeans2>`__
+
+
+.. function:: KMeans2(samples,nclusters,labels,termcrit)-> None
+
+    Splits set of vectors by a given number of clusters.
+
+
+
+
+
+    
+    :param samples: Floating-point matrix of input samples, one row per sample 
+    
+    :type samples: :class:`CvArr`
+    
+    
+    :param nclusters: Number of clusters to split the set by 
+    
+    :type nclusters: int
+    
+    
+    :param labels: Output integer vector storing cluster indices for every sample 
+    
+    :type labels: :class:`CvArr`
+    
+    
+    :param termcrit: Specifies maximum number of iterations and/or accuracy (distance the centers can move by between subsequent iterations) 
+    
+    :type termcrit: :class:`CvTermCriteria`
+    
+    
+    
+The function 
+``cvKMeans2``
+implements a k-means algorithm that finds the
+centers of 
+``nclusters``
+clusters and groups the input samples
+around the clusters. On output, 
+:math:`\texttt{labels}_i`
+contains a cluster index for
+samples stored in the i-th row of the 
+``samples``
+matrix.
+