Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/11116#discussion_r52959996
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/KMeansExample.scala ---
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+// scalastyle:off println
+package org.apache.spark.examples.mllib
+
+import org.apache.spark.{SparkConf, SparkContext}
+// $example on$
+import org.apache.spark.mllib.clustering.{KMeans, KMeansModel}
+import org.apache.spark.mllib.linalg.Vectors
+// $example off$
+
+object KMeansExample {
+
+ def main(args: Array[String]) {
+
+ val conf = new
SparkConf().setAppName("KMeansExample").setMaster("local[*]")
+ val sc = new SparkContext(conf)
+
+ // $example on$
+ // Load and parse the data
+ val data = sc.textFile("data/mllib/kmeans_data.txt")
+ val parsedData = data.map(s => Vectors.dense(s.split('
').map(_.toDouble))).cache()
+
+ // Cluster the data into two classes using KMeans
+ val numClusters = 2
+ val numIterations = 20
+ val clusters = KMeans.train(parsedData, numClusters, numIterations)
+
+ // Evaluate clustering by computing Within Set Sum of Squared Errors
+ val WSSSE = clusters.computeCost(parsedData)
+ println("Within Set Sum of Squared Errors = " + WSSSE)
+
+ // Save and load model
+ clusters.save(sc, "myModelPath")
+ val sameModel = KMeansModel.load(sc, "myModelPath")
+
--- End diff --
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