Fix Id tags.

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1519184 13f79535-47bb-0310-9956-ffa450edef68

src/main/java/org/apache/commons/math3/ml/clustering/CentroidCluster.java

@@ -23,7 +23,7 @@ package org.apache.commons.math3.ml.clustering;
  * of the original data set.
  *
  * @param <T> the type of points that can be clustered
- * @version $Id $
+ * @version $Id$
  * @since 3.2
  */
 public class CentroidCluster<T extends Clusterable> extends Cluster<T> {

src/main/java/org/apache/commons/math3/ml/clustering/Clusterer.java

@@ -27,7 +27,7 @@ import org.apache.commons.math3.ml.distance.DistanceMeasure;
  * Base class for clustering algorithms.
  *
  * @param <T> the type of points that can be clustered
- * @version $Id $
+ * @version $Id$
  * @since 3.2
  */
 public abstract class Clusterer<T extends Clusterable> {

src/main/java/org/apache/commons/math3/ml/distance/CanberraDistance.java

@@ -21,7 +21,7 @@ import org.apache.commons.math3.util.FastMath;
 /**
  * Calculates the Canberra distance between two points.
  *
- * @version $Id $
+ * @version $Id$
  * @since 3.2
  */
 public class CanberraDistance implements DistanceMeasure {

src/main/java/org/apache/commons/math3/ml/distance/ChebyshevDistance.java

@@ -21,7 +21,7 @@ import org.apache.commons.math3.util.MathArrays;
 /**
  * Calculates the L<sub>&infin;</sub> (max of abs) distance between two points.
  *
- * @version $Id $
+ * @version $Id$
  * @since 3.2
  */
 public class ChebyshevDistance implements DistanceMeasure {

src/main/java/org/apache/commons/math3/ml/distance/DistanceMeasure.java

@@ -21,7 +21,7 @@ import java.io.Serializable;
 /**
  * Interface for distance measures of n-dimensional vectors.
  *
- * @version $Id $
+ * @version $Id$
  * @since 3.2
  */
 public interface DistanceMeasure extends Serializable {

src/main/java/org/apache/commons/math3/ml/distance/EuclideanDistance.java

@@ -21,7 +21,7 @@ import org.apache.commons.math3.util.MathArrays;
 /**
  * Calculates the L<sub>2</sub> (Euclidean) distance between two points.
  *
- * @version $Id $
+ * @version $Id$
  * @since 3.2
  */
 public class EuclideanDistance implements DistanceMeasure {

src/main/java/org/apache/commons/math3/ml/distance/ManhattanDistance.java

@@ -21,7 +21,7 @@ import org.apache.commons.math3.util.MathArrays;
 /**
  * Calculates the L<sub>1</sub> (sum of abs) distance between two points.
  *
- * @version $Id $
+ * @version $Id$
  * @since 3.2
  */
 public class ManhattanDistance implements DistanceMeasure {