From b62b5b0306074417c93c71695cc4c20bce949c5a Mon Sep 17 00:00:00 2001
From: Phil Steitz <psteitz@apache.org>
Date: Fri, 29 Mar 2013 01:42:42 +0000
Subject: [PATCH] Fixed javadoc errors.

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1462375 13f79535-47bb-0310-9956-ffa450edef68
---
 .../MultivariateNormalMixtureExpectationMaximization.java  | 7 ++-----
 .../math3/ml/clustering/MultiKMeansPlusPlusClusterer.java  | 3 ++-
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java b/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
index 2ee444702..fe2c2a0db 100644
--- a/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
+++ b/src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
@@ -128,7 +128,6 @@ public class MultivariateNormalMixtureExpectationMaximization {
      *             or threshold is less than Double.MIN_VALUE
      * @throws DimensionMismatchException if initialMixture mean vector and data
      *             number of columns are not equal
-     * @see #estimateMultivariateNormalMixtureModelDistribution
      */
     public void fit(final MixtureMultivariateNormalDistribution initialMixture,
                     final int maxIterations,
@@ -275,7 +274,6 @@ public class MultivariateNormalMixtureExpectationMaximization {
      *             singular during fitting
      * @throws NotStrictlyPositiveException if numComponents is less than one or
      *             threshold is less than Double.MIN_VALUE
-     * @see #estimateMultivariateNormalMixtureModelDistribution
      */
     public void fit(MixtureMultivariateNormalDistribution initialMixture)
         throws SingularMatrixException,
@@ -285,7 +283,7 @@ public class MultivariateNormalMixtureExpectationMaximization {
 
     /**
      * Helper method to create a multivariate normal mixture model which can be
-     * used to initialize {@link #fit(MixtureMultivariateRealDistribution)}.
+     * used to initialize {@link #fit(MixtureMultivariateNormalDistribution)}.
      *
      * This method uses the data supplied to the constructor to try to determine
      * a good mixture model at which to start the fit, but it is not guaranteed
@@ -294,13 +292,12 @@ public class MultivariateNormalMixtureExpectationMaximization {
      * @param data Data to estimate distribution
      * @param numComponents Number of components for estimated mixture
      * @return Multivariate normal mixture model estimated from the data
-     * @throws NumberIsTooLargeException if {@code numComponents\ is greater
+     * @throws NumberIsTooLargeException if {@code numComponents} is greater
      * than the number of data rows.
      * @throws NumberIsTooSmallException if {@code numComponents < 2}.
      * @throws NotStrictlyPositiveException if data has less than 2 rows
      * @throws DimensionMismatchException if rows of data have different numbers
      *             of columns
-     * @see #fit
      */
     public static MixtureMultivariateNormalDistribution estimate(final double[][] data,
                                                                  final int numComponents)
diff --git a/src/main/java/org/apache/commons/math3/ml/clustering/MultiKMeansPlusPlusClusterer.java b/src/main/java/org/apache/commons/math3/ml/clustering/MultiKMeansPlusPlusClusterer.java
index 3b8b001fb..546c0cfda 100644
--- a/src/main/java/org/apache/commons/math3/ml/clustering/MultiKMeansPlusPlusClusterer.java
+++ b/src/main/java/org/apache/commons/math3/ml/clustering/MultiKMeansPlusPlusClusterer.java
@@ -74,7 +74,8 @@ public class MultiKMeansPlusPlusClusterer<T extends Clusterable> extends Cluster
      * @throws MathIllegalArgumentException if the data points are null or the number
      *   of clusters is larger than the number of data points
      * @throws ConvergenceException if an empty cluster is encountered and the
-     *   {@link #emptyStrategy} is set to {@code ERROR}
+     *   underlying {@link KMeansPlusPlusClusterer} has its
+     *   {@link KMeansPlusPlusClusterer.EmptyClusterStrategy} is set to {@code ERROR}.
      */
     public List<CentroidCluster<T>> cluster(final Collection<T> points)
         throws MathIllegalArgumentException, ConvergenceException {