[mlpack] 53/149: Add test for CoverTreeDTNNKMeans.

[Barak A. Pearlmutter]

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bap pushed a commit to branch svn-trunk
in repository mlpack.

commit e9b01c485d2224eea7f2fe9a3b38c4c79b7b5383
Author: rcurtin <rcurtin at 9d5b8971-822b-0410-80eb-d18c1038ef23>
Date:   Tue Oct 14 06:15:25 2014 +0000

    Add test for CoverTreeDTNNKMeans.
    
    
    git-svn-id: http://svn.cc.gatech.edu/fastlab/mlpack/trunk@17261 9d5b8971-822b-0410-80eb-d18c1038ef23
---
 src/mlpack/tests/kmeans_test.cpp | 36 +++++++++++++++++++++++++++++++++++-
 1 file changed, 35 insertions(+), 1 deletion(-)

diff --git a/src/mlpack/tests/kmeans_test.cpp b/src/mlpack/tests/kmeans_test.cpp
index 0b22195..ef8aa2c 100644
--- a/src/mlpack/tests/kmeans_test.cpp
+++ b/src/mlpack/tests/kmeans_test.cpp
@@ -12,6 +12,8 @@
 #include <mlpack/methods/kmeans/pelleg_moore_kmeans.hpp>
 #include <mlpack/methods/kmeans/dtnn_kmeans.hpp>
 
+#include <mlpack/core/tree/cover_tree/cover_tree.hpp>
+
 #include <boost/test/unit_test.hpp>
 #include "old_boost_test_definitions.hpp"
 
@@ -618,7 +620,39 @@ BOOST_AUTO_TEST_CASE(DTNNTest)
     for (size_t i = 0; i < dataset.n_cols; ++i)
       BOOST_REQUIRE_EQUAL(assignments[i], dtnnAssignments[i]);
 
-    for (size_t i = 0; i < centroids.n_cols; ++i)
+    for (size_t i = 0; i < centroids.n_elem; ++i)
+      BOOST_REQUIRE_CLOSE(naiveCentroids[i], dtnnCentroids[i], 1e-5);
+  }
+}
+
+BOOST_AUTO_TEST_CASE(DTNNCoverTreeTest)
+{
+  const size_t trials = 5;
+
+  for (size_t t = 0; t < trials; ++t)
+  {
+    arma::mat dataset(10, 1000);
+    dataset.randu();
+
+    const size_t k = 5 * (t + 1);
+    arma::mat centroids(10, k);
+    centroids.randu();
+
+    arma::mat naiveCentroids(centroids);
+    KMeans<> km;
+    arma::Col<size_t> assignments;
+    km.Cluster(dataset, k, assignments, naiveCentroids, false, true);
+
+    KMeans<metric::EuclideanDistance, RandomPartition, MaxVarianceNewCluster,
+        CoverTreeDTNNKMeans> dtnn;
+    arma::Col<size_t> dtnnAssignments;
+    arma::mat dtnnCentroids(centroids);
+    dtnn.Cluster(dataset, k, dtnnAssignments, dtnnCentroids, false, true);
+
+    for (size_t i = 0; i < dataset.n_cols; ++i)
+      BOOST_REQUIRE_EQUAL(assignments[i], dtnnAssignments[i]);
+
+    for (size_t i = 0; i < centroids.n_elem; ++i)
       BOOST_REQUIRE_CLOSE(naiveCentroids[i], dtnnCentroids[i], 1e-5);
   }
 }

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