weibozhao commented on a change in pull request #24:
URL: https://github.com/apache/flink-ml/pull/24#discussion_r756817467



##########
File path: 
flink-ml-lib/src/main/java/org/apache/flink/ml/classification/knn/EuclideanDistance.java
##########
@@ -0,0 +1,272 @@
+package org.apache.flink.ml.classification.knn;
+
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.types.Row;
+import org.apache.flink.util.Preconditions;
+
+import org.apache.flink.shaded.curator4.com.google.common.collect.Iterables;
+
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Iterator;
+import java.util.List;
+
+import static 
org.apache.flink.ml.classification.knn.KnnUtil.appendVectorToMatrix;
+
+/**
+ * Euclidean distance is the "ordinary" straight-line distance between two 
points in Euclidean
+ * space.
+ *
+ * <p>https://en.wikipedia.org/wiki/Euclidean_distance
+ *
+ * <p>Given two vectors a and b, Euclidean Distance = ||a - b||, where ||*|| 
means the L2 norm of
+ * the vector.
+ */
+public class EuclideanDistance implements Serializable {

Review comment:
       done




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