
org.apache.spark.examples.mllib.BisectingKMeansExample.scala Maven / Gradle / Ivy
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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
// scalastyle:off println
import org.apache.spark.{SparkConf, SparkContext}
// $example on$
import org.apache.spark.mllib.clustering.BisectingKMeans
import org.apache.spark.mllib.linalg.{Vector, Vectors}
// $example off$
/**
* An example demonstrating a bisecting k-means clustering in spark.mllib.
*
* Run with
* {{{
* bin/run-example mllib.BisectingKMeansExample
* }}}
*/
object BisectingKMeansExample {
def main(args: Array[String]) {
val sparkConf = new SparkConf().setAppName("mllib.BisectingKMeansExample")
val sc = new SparkContext(sparkConf)
// $example on$
// Loads and parses data
def parse(line: String): Vector = Vectors.dense(line.split(" ").map(_.toDouble))
val data = sc.textFile("data/mllib/kmeans_data.txt").map(parse).cache()
// Clustering the data into 6 clusters by BisectingKMeans.
val bkm = new BisectingKMeans().setK(6)
val model = bkm.run(data)
// Show the compute cost and the cluster centers
println(s"Compute Cost: ${model.computeCost(data)}")
model.clusterCenters.zipWithIndex.foreach { case (center, idx) =>
println(s"Cluster Center ${idx}: ${center}")
}
// $example off$
sc.stop()
}
}
// scalastyle:on println
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