[mlpack-svn] r14985 - mlpack/trunk/doc/tutorials/kmeans

fastlab-svn at coffeetalk-1.cc.gatech.edu fastlab-svn at coffeetalk-1.cc.gatech.edu
Wed May 1 19:41:22 EDT 2013


Author: rcurtin
Date: 2013-05-01 19:41:20 -0400 (Wed, 01 May 2013)
New Revision: 14985

Modified:
   mlpack/trunk/doc/tutorials/kmeans/kmeans.txt
Log:
Fix reference.


Modified: mlpack/trunk/doc/tutorials/kmeans/kmeans.txt
===================================================================
--- mlpack/trunk/doc/tutorials/kmeans/kmeans.txt	2013-05-01 22:56:58 UTC (rev 14984)
+++ mlpack/trunk/doc/tutorials/kmeans/kmeans.txt	2013-05-01 23:41:20 UTC (rev 14985)
@@ -465,10 +465,10 @@
 
 Most machine learning algorithms in \b mlpack support modifying the distance
 metric, and \c KMeans<> is no exception.  Similar to \ref
-neighbor::NeighborSearch NeighborSearch (see \ref metric_type_doc_nstut
-"the section in the NeighborSearch tutorial"), any class in mlpack::metric can
-be given as an argument.  The mlpack::metric::LMetric class is a good example
-implementation.
+mlpack::neighbor::NeighborSearch "NeighborSearch" (see \ref
+metric_type_doc_nstut "the section in the NeighborSearch tutorial"), any class
+in mlpack::metric can be given as an argument.  The mlpack::metric::LMetric
+class is a good example implementation.
 
 A class fulfilling the MetricType policy must provide the following two
 functions:




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