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Fixed javadoc errors. 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1462375 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Phil Steitz 2013-03-29 01:42:42 +00:00
parent 0b4e8b6bb0
commit b62b5b0306
2 changed files with 4 additions and 6 deletions
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7
src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
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@ -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)

3
src/main/java/org/apache/commons/math3/ml/clustering/MultiKMeansPlusPlusClusterer.java
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@ -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 {