From ddcd1dddfdceb5585ee61a165803acabd7587ac7 Mon Sep 17 00:00:00 2001 From: Raymond Liu Date: Thu, 10 Jul 2014 13:23:09 +0800 Subject: [PATCH] Clean up SparkKMeans example's code --- .../main/scala/org/apache/spark/examples/SparkKMeans.scala | 5 ----- 1 file changed, 5 deletions(-) diff --git a/examples/src/main/scala/org/apache/spark/examples/SparkKMeans.scala b/examples/src/main/scala/org/apache/spark/examples/SparkKMeans.scala index 4d28e0aad6597..79cfedf332436 100644 --- a/examples/src/main/scala/org/apache/spark/examples/SparkKMeans.scala +++ b/examples/src/main/scala/org/apache/spark/examples/SparkKMeans.scala @@ -17,8 +17,6 @@ package org.apache.spark.examples -import java.util.Random - import breeze.linalg.{Vector, DenseVector, squaredDistance} import org.apache.spark.{SparkConf, SparkContext} @@ -28,15 +26,12 @@ import org.apache.spark.SparkContext._ * K-means clustering. */ object SparkKMeans { - val R = 1000 // Scaling factor - val rand = new Random(42) def parseVector(line: String): Vector[Double] = { DenseVector(line.split(' ').map(_.toDouble)) } def closestPoint(p: Vector[Double], centers: Array[Vector[Double]]): Int = { - var index = 0 var bestIndex = 0 var closest = Double.PositiveInfinity