Author: tn
Date: Thu Mar 21 22:18:32 2013
New Revision: 1459552
URL: http://svn.apache.org/r1459552
Log:
Formatting und removal of unused import.
Modified:
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
Modified:
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
URL:
http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java?rev=1459552&r1=1459551&r2=1459552&view=diff
==============================================================================
---
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
(original)
+++
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
Thu Mar 21 22:18:32 2013
@@ -19,7 +19,6 @@ package org.apache.commons.math3.distrib
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
-import
org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution;
import org.apache.commons.math3.distribution.MultivariateNormalDistribution;
import
org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution;
import org.apache.commons.math3.exception.ConvergenceException;
@@ -42,8 +41,7 @@ import org.apache.commons.math3.util.Pai
* multivariate normal mixture model distributions.
*
* This implementation is based on
- * <a href="http://cran.r-project.org/web/packages/mixtools/index.html";>
- * CRAN Mixtools</a>
+ * <a href="http://cran.r-project.org/web/packages/mixtools/index.html";>CRAN
Mixtools</a>
*
* @version $Id$
* @since 3.2
@@ -199,9 +197,7 @@ public class MultivariateNormalMixtureEx
sumLogLikelihood += Math.log(rowDensity);
for (int j = 0; j < k; j++) {
- gamma[i][j] = weights[j] * mvns[j].density(data[i])
- / rowDensity;
-
+ gamma[i][j] = weights[j] * mvns[j].density(data[i]) /
rowDensity;
gammaSums[j] += gamma[i][j];
for (int col = 0; col < numCols; col++) {
