Package tv.floe.metronome.clustering.kmeans

Examples of tv.floe.metronome.clustering.kmeans.DistanceMeasurer.distance()

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    double [] d2 = {3,4};
    Point p1 = new Point(d1);
    Point p2 = new Point(d2);
   
    DistanceMeasurer measurer = new DistanceMeasurer();
    assertEquals(5.0, measurer.distance(p1, p2), 0.0000000001);
    assertEquals(5.0, measurer.distance(p2, p1), 0.0000000001);
  }

  @Test
  public void test2() {
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    Point p1 = new Point(d1);
    Point p2 = new Point(d2);
   
    DistanceMeasurer measurer = new DistanceMeasurer();
    assertEquals(5.0, measurer.distance(p1, p2), 0.0000000001);
    assertEquals(5.0, measurer.distance(p2, p1), 0.0000000001);
  }

  @Test
  public void test2() {
    double [] d1 = {-2,-1};
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    double [] d2 = {1,3};
    Point p1 = new Point(d1);
    Point p2 = new Point(d2);
   
    DistanceMeasurer measurer = new DistanceMeasurer();
    assertEquals(5.0, measurer.distance(p1, p2), 0.0000000001);
    assertEquals(5.0, measurer.distance(p2, p1), 0.0000000001);
  }
 
}
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    Point p1 = new Point(d1);
    Point p2 = new Point(d2);
   
    DistanceMeasurer measurer = new DistanceMeasurer();
    assertEquals(5.0, measurer.distance(p1, p2), 0.0000000001);
    assertEquals(5.0, measurer.distance(p2, p1), 0.0000000001);
  }
 
}
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