diff --git a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
index 1bfb61dd6a21b..81f11cf147a74 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
@@ -92,45 +92,6 @@ sealed trait Vector extends Serializable {
    * @return norm in L^p^ space.
    */
   private[spark] def norm(p: Double): Double
-
-  protected def norm(p: Double, values: Array[Double]): Double = {
-    require(p >= 1.0)
-    val size = values.size
-    if (p == 1) {
-      var sum = 0.0
-      var i = 0
-      while (i < size) {
-        sum += math.abs(values(i))
-        i += 1
-      }
-      sum
-    } else if (p == 2) {
-      var sum = 0.0
-      var i = 0
-      while (i < size) {
-        sum += values(i) * values(i)
-        i += 1
-      }
-      math.sqrt(sum)
-    } else if (p == Double.PositiveInfinity) {
-      var max = 0.0
-      var i = 0
-      while (i < size) {
-        val value = math.abs(values(i))
-        if (value > max) max = value
-        i += 1
-      }
-      max
-    } else {
-      var sum = 0.0
-      var i = 0
-      while (i < size) {
-        sum += math.pow(math.abs(values(i)), p)
-        i += 1
-      }
-      math.pow(sum, 1.0 / p)
-    }
-  }
 }
 
 /**
@@ -307,6 +268,45 @@ object Vectors {
         sys.error("Unsupported Breeze vector type: " + v.getClass.getName)
     }
   }
+
+  private[linalg] def norm(p: Double, values: Array[Double]): Double = {
+    require(p >= 1.0)
+    val size = values.size
+    if (p == 1) {
+      var sum = 0.0
+      var i = 0
+      while (i < size) {
+        sum += math.abs(values(i))
+        i += 1
+      }
+      sum
+    } else if (p == 2) {
+      var sum = 0.0
+      var i = 0
+      while (i < size) {
+        sum += values(i) * values(i)
+        i += 1
+      }
+      math.sqrt(sum)
+    } else if (p == Double.PositiveInfinity) {
+      var max = 0.0
+      var i = 0
+      while (i < size) {
+        val value = math.abs(values(i))
+        if (value > max) max = value
+        i += 1
+      }
+      max
+    } else {
+      var sum = 0.0
+      var i = 0
+      while (i < size) {
+        sum += math.pow(math.abs(values(i)), p)
+        i += 1
+      }
+      math.pow(sum, 1.0 / p)
+    }
+  }
 }
 
 /**
@@ -340,7 +340,7 @@ class DenseVector(val values: Array[Double]) extends Vector {
     }
   }
 
-  private[spark] override def norm(p: Double): Double = norm(p, values)
+  private[spark] override def norm(p: Double): Double = Vectors.norm(p, values)
 }
 
 /**
@@ -390,5 +390,5 @@ class SparseVector(
     }
   }
 
-  private[spark] override def norm(p: Double): Double = norm(p, values)
+  private[spark] override def norm(p: Double): Double = Vectors.norm(p, values)
 }