[mlpack-svn] r17247 - mlpack/trunk/src/mlpack/methods/kmeans

fastlab-svn at coffeetalk-1.cc.gatech.edu fastlab-svn at coffeetalk-1.cc.gatech.edu
Sun Oct 12 16:53:26 EDT 2014


Author: rcurtin
Date: Sun Oct 12 16:53:26 2014
New Revision: 17247

Log:
Better comments for the PellegMooreKMeans class.


Modified:
   mlpack/trunk/src/mlpack/methods/kmeans/pelleg_moore_kmeans.hpp

Modified: mlpack/trunk/src/mlpack/methods/kmeans/pelleg_moore_kmeans.hpp
==============================================================================
--- mlpack/trunk/src/mlpack/methods/kmeans/pelleg_moore_kmeans.hpp	(original)
+++ mlpack/trunk/src/mlpack/methods/kmeans/pelleg_moore_kmeans.hpp	Sun Oct 12 16:53:26 2014
@@ -14,6 +14,25 @@
 namespace mlpack {
 namespace kmeans {
 
+/**
+ * An implementation of Pelleg-Moore's 'blacklist' algorithm for k-means
+ * clustering.  This algorithm builds a kd-tree on the data points and traverses
+ * it in order to determine the closest clusters to each point.
+ *
+ * For more information on the algorithm, see
+ *
+ * @code
+ * @inproceedings{pelleg1999accelerating,
+ *     title={Accelerating exact k-means algorithms with geometric reasoning},
+ *     author={Pelleg, Dan and Moore, Andrew W.},
+ *     booktitle={Proceedings of the Fifth ACM SIGKDD International Conference
+ *       on Knowledge Discovery and Data Mining (KDD '99)},
+ * pages={277--281},
+ * year={1999},
+ * organization={ACM}
+ * }
+ * @endcode
+ */
 template<typename MetricType, typename MatType>
 class PellegMooreKMeans
 {
@@ -40,8 +59,12 @@
                  arma::mat& newCentroids,
                  arma::Col<size_t>& counts);
 
+  //! Return the number of distance calculations.
   size_t DistanceCalculations() const { return distanceCalculations; }
+  //! Modify the number of distance calculations.
+  size_t& DistanceCalculations() { return distanceCalculations; }
 
+  //! Convenience typedef for the tree.
   typedef tree::BinarySpaceTree<bound::HRectBound<2, true>,
       PellegMooreKMeansStatistic, MatType> TreeType;
 



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