Unused "import" statements.
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@ -25,7 +25,6 @@ import java.util.Map;
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import java.util.Set;
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import org.apache.commons.math4.exception.NotPositiveException;
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import org.apache.commons.math4.exception.NullArgumentException;
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import org.apache.commons.math4.ml.distance.DistanceMeasure;
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import org.apache.commons.math4.ml.distance.EuclideanDistance;
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import org.apache.commons.math4.util.MathUtils;
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@ -124,9 +123,8 @@ public class DBSCANClusterer<T extends Clusterable> extends Clusterer<T> {
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/**
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* Performs DBSCAN cluster analysis.
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*
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* @param points the points to cluster
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* @return the list of clusters
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* @throws NullArgumentException if the data points are null
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* @param points Points to cluster (cannot be {@code null}).
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* @return the list of clusters.
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*/
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@Override
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public List<Cluster<T>> cluster(final Collection<T> points) {
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@ -21,7 +21,6 @@ import java.util.Collection;
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import java.util.Collections;
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import java.util.List;
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import org.apache.commons.math4.exception.MathIllegalArgumentException;
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import org.apache.commons.math4.exception.MathIllegalStateException;
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import org.apache.commons.math4.exception.NumberIsTooSmallException;
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import org.apache.commons.math4.linear.MatrixUtils;
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@ -258,8 +257,9 @@ public class FuzzyKMeansClusterer<T extends Clusterable> extends Clusterer<T> {
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*
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* @param dataPoints the points to cluster
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* @return the list of clusters
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* @throws MathIllegalArgumentException if the data points are null or the number
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* of clusters is larger than the number of data points
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* @throws org.apache.commons.math4.exception.MathIllegalArgumentException if
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* the data points are null or the number of clusters is larger than the number
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* of data points
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*/
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@Override
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public List<CentroidCluster<T>> cluster(final Collection<T> dataPoints) {
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@ -20,8 +20,6 @@ package org.apache.commons.math4.ml.clustering;
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import java.util.Collection;
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import java.util.List;
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import org.apache.commons.math4.exception.ConvergenceException;
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import org.apache.commons.math4.exception.MathIllegalArgumentException;
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import org.apache.commons.math4.ml.clustering.evaluation.SumOfClusterVariances;
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/**
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@ -72,11 +70,12 @@ public class MultiKMeansPlusPlusClusterer<T extends Clusterable> extends Cluster
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*
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* @param points the points to cluster
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* @return a list of clusters containing the points
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* @throws MathIllegalArgumentException if the data points are null or the number
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* of clusters is larger than the number of data points
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* @throws ConvergenceException if an empty cluster is encountered and the
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* underlying {@link KMeansPlusPlusClusterer} has its
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* {@link KMeansPlusPlusClusterer.EmptyClusterStrategy} is set to {@code ERROR}.
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* @throws org.apache.commons.math4.exception.MathIllegalArgumentException if
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* the data points are null or the number of clusters is larger than the
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* number of data points
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* @throws org.apache.commons.math4.exception.ConvergenceException if
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* an empty cluster is encountered and the underlying {@link KMeansPlusPlusClusterer}
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* has its {@link KMeansPlusPlusClusterer.EmptyClusterStrategy} is set to {@code ERROR}.
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*/
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@Override
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public List<CentroidCluster<T>> cluster(final Collection<T> points) {
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