How to use

AxisSplitRuleMax

in

org.ddogleg.nn.alg

/**
 * Defaults to selecting the split axis with maximum variance
 */
public AxisSplitterMedian(KdTreeDistance<P> distance) {
  this(distance,new AxisSplitRuleMax());
}

  @Test
  public void basic() {

    double[] var = new double[]{1,2,3,10,4,5,5,6};

    AxisSplitRuleMax alg = new AxisSplitRuleMax();
    alg.setDimension(var.length);
    int found = alg.select(var);
    assertEquals(3,found);
  }
}

/**
 * Defaults to selecting the split axis with maximum variance
 */
public AxisSplitterMedian(KdTreeDistance<P> distance) {
  this(distance,new AxisSplitRuleMax());
}

/**
 * Creates canonical K-D Tree by selecting the maximum variance axis and splitting the points at the median.
 *
 */
public KdTreeConstructor( KdTreeDistance<P> distance ) {
  this(new KdTreeMemory<>(), new AxisSplitterMedian<>(distance, new AxisSplitRuleMax()));
}

/**
 * Creates canonical K-D Tree by selecting the maximum variance axis and splitting the points at the median.
 *
 */
public KdTreeConstructor( KdTreeDistance<P> distance ) {
  this(new KdTreeMemory<>(), new AxisSplitterMedian<>(distance, new AxisSplitRuleMax()));
}