content: /*
   * 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 eu.amidst.flinklink.examples.misc;
  
  import org.apache.flink.api.java.DataSet;
  import org.apache.flink.api.java.ExecutionEnvironment;
  
  import java.util.LinkedList;
  import java.util.List;
  
  /**
   * Provides the default data sets used for the K-Means example program.
   * The default data sets are used, if no parameters are given to the program.
   *
   */
  public class KMeansData {
  
      // We have the data as object arrays so that we can also generate Scala Data Sources from it.
      public static final Object[][] CENTROIDS = new Object[][] {
              new Object[] {1, -31.85, -44.77},
              new Object[]{2, 35.16, 17.46},
              new Object[]{3, -5.16, 21.93},
              new Object[]{4, -24.06, 6.81}
      };
  
      public static final Object[][] POINTS = new Object[][] {
              new Object[] {-14.22, -48.01},
              new Object[] {-22.78, 37.10},
              new Object[] {56.18, -42.99},
              new Object[] {35.04, 50.29},
              new Object[] {-9.53, -46.26},
              new Object[] {-34.35, 48.25},
              new Object[] {55.82, -57.49},
              new Object[] {21.03, 54.64},
              new Object[] {-13.63, -42.26},
              new Object[] {-36.57, 32.63},
              new Object[] {50.65, -52.40},
              new Object[] {24.48, 34.04},
              new Object[] {-2.69, -36.02},
              new Object[] {-38.80, 36.58},
              new Object[] {24.00, -53.74},
              new Object[] {32.41, 24.96},
              new Object[] {-4.32, -56.92},
              new Object[] {-22.68, 29.42},
              new Object[] {59.02, -39.56},
              new Object[] {24.47, 45.07},
              new Object[] {5.23, -41.20},
              new Object[] {-23.00, 38.15},
              new Object[] {44.55, -51.50},
              new Object[] {14.62, 59.06},
              new Object[] {7.41, -56.05},
              new Object[] {-26.63, 28.97},
              new Object[] {47.37, -44.72},
              new Object[] {29.07, 51.06},
              new Object[] {0.59, -31.89},
              new Object[] {-39.09, 20.78},
              new Object[] {42.97, -48.98},
              new Object[] {34.36, 49.08},
              new Object[] {-21.91, -49.01},
              new Object[] {-46.68, 46.04},
              new Object[] {48.52, -43.67},
              new Object[] {30.05, 49.25},
              new Object[] {4.03, -43.56},
              new Object[] {-37.85, 41.72},
              new Object[] {38.24, -48.32},
              new Object[] {20.83, 57.85}
      };
  
      public static DataSet<KMeans.Centroid> getDefaultCentroidDataSet(ExecutionEnvironment env) {
          List<KMeans.Centroid> centroidList = new LinkedList<KMeans.Centroid>();
          for (Object[] centroid : CENTROIDS) {
              centroidList.add(
                      new KMeans.Centroid((Integer) centroid[0], (Double) centroid[1], (Double) centroid[2]));
          }
          return env.fromCollection(centroidList);
      }
  
      public static DataSet<KMeans.Point> getDefaultPointDataSet(ExecutionEnvironment env) {
          List<KMeans.Point> pointList = new LinkedList<KMeans.Point>();
          for (Object[] point : POINTS) {
              pointList.add(new KMeans.Point((Double) point[0], (Double) point[1]));
          }
          return env.fromCollection(pointList);
      }
  
  }
  