1 files changed, 58 insertions, 0 deletions
diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaPowerIterationClusteringExample.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaPowerIterationClusteringExample.java
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+/*
+ * 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.
+ */
+
+package org.apache.spark.examples.mllib;
+
+import scala.Tuple2;
+import scala.Tuple3;
+
+import com.google.common.collect.Lists;
+
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.mllib.clustering.PowerIterationClustering;
+import org.apache.spark.mllib.clustering.PowerIterationClusteringModel;
+
+/**
+ * Java example for graph clustering using power iteration clustering (PIC).
+ */
+public class JavaPowerIterationClusteringExample {
+  public static void main(String[] args) {
+    SparkConf sparkConf = new SparkConf().setAppName("JavaPowerIterationClusteringExample");
+    JavaSparkContext sc = new JavaSparkContext(sparkConf);
+
+    @SuppressWarnings("unchecked")
+    JavaRDD<Tuple3<Long, Long, Double>> similarities = sc.parallelize(Lists.newArrayList(
+      new Tuple3<Long, Long, Double>(0L, 1L, 0.9),
+      new Tuple3<Long, Long, Double>(1L, 2L, 0.9),
+      new Tuple3<Long, Long, Double>(2L, 3L, 0.9),
+      new Tuple3<Long, Long, Double>(3L, 4L, 0.1),
+      new Tuple3<Long, Long, Double>(4L, 5L, 0.9)));
+
+    PowerIterationClustering pic = new PowerIterationClustering()
+      .setK(2)
+      .setMaxIterations(10);
+    PowerIterationClusteringModel model = pic.run(similarities);
+
+    for (Tuple2<Object, Object> assignment: model.assignments().toJavaRDD().collect()) {
+      System.out.println(assignment._1() + " -> " + assignment._2());
+    }
+
+    sc.stop();
+  }
+}