Import Debian changes 0.4.1-1

elki (0.4.1-1) unstable; urgency=low

  * New upstream bug fix release (a couple of minor fixes)
  * Specify encoding UTF-8 for javac (Closes: #642659)

1 files changed, 58 insertions, 0 deletions

diff --git a/test/de/lmu/ifi/dbs/elki/math/TestMathUtil.java b/test/de/lmu/ifi/dbs/elki/math/TestMathUtil.java
new file mode 100644
index 00000000..16dfe77c
--- /dev/null
+++ b/test/de/lmu/ifi/dbs/elki/math/TestMathUtil.java
@@ -0,0 +1,58 @@
+package de.lmu.ifi.dbs.elki.math;
+
+import static org.junit.Assert.*;
+
+import java.util.Random;
+
+import org.junit.Test;
+
+import de.lmu.ifi.dbs.elki.JUnit4Test;
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2011
+ Ludwig-Maximilians-Universität München
+ Lehr- und Forschungseinheit für Datenbanksysteme
+ ELKI Development Team
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU Affero General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ GNU Affero General Public License for more details.
+
+ You should have received a copy of the GNU Affero General Public License
+ along with this program.  If not, see <http://www.gnu.org/licenses/>.
+ */
+
+public class TestMathUtil implements JUnit4Test {
+
+  @Test
+  public void testPearsonCorrelation() {
+    final int size = 1000;
+    final long seed = 1;
+    double[] data1 = new double[size];
+    double[] data2 = new double[size];
+    double[] weight1 = new double[size];
+    double[] weight2 = new double[size];
+
+    Random r = new Random(seed);
+    for (int i = 0; i < size; i++) {
+      data1[i] = r.nextDouble();
+      data2[i] = r.nextDouble();
+      weight1[i] = 1.0;
+      weight2[i] = 0.1;
+    }
+    
+    double pear = MathUtil.pearsonCorrelationCoefficient(data1, data2);
+    double wpear1 = MathUtil.weightedPearsonCorrelationCoefficient(data1, data2, weight1);
+    double wpear2 = MathUtil.weightedPearsonCorrelationCoefficient(data1, data2, weight2);
+    assertEquals("Pearson and weighted pearson should be the same with constant weights.", pear, wpear1, 1E-10);
+    assertEquals("Weighted pearsons should be the same with constant weights.", wpear1, wpear2, 1E-10);
+  }
+}