Examples of EuclideanDistance

cascading.assembly.EuclideanDistance

Computes the euclidean distance between every unique set of first fields, with using the label and value of each element.

Expects on input three values: item, label, value

com.heatonresearch.aifh.distance.EuclideanDistance

eatonresearch.com/wiki/Euclidean_Distance

org.apache.commons.math3.ml.distance.EuclideanDistance

Calculates the L₂ (Euclidean) distance between two points. @since 3.2

stallone.doubles.EuclideanDistance

@author noe

weka.core.EuclideanDistance

kipedia.org/wiki/Euclidean_distance.

BibTeX:

 @misc{missing_id, author = {Wikipedia}, title = {Euclidean distance}, URL = {http://en.wikipedia.org/wiki/Euclidean_distance} }

Valid options are:

 -D Turns off the normalization of attribute  values in distance calculation.

 -R <col1,col2-col4,...> Specifies list of columns to used in the calculation of the  distance. 'first' and 'last' are valid indices. (default: first-last)

 -V Invert matching sense of column indices.

@author Gabi Schmidberger (gabi@cs.waikato.ac.nz) @author Ashraf M. Kibriya (amk14@cs.waikato.ac.nz) @author FracPete (fracpete at waikato dot ac dot nz) @version $Revision: 1.13 $

   */
  protected void buildKDTree(Instances instances) throws Exception {


    checkMissing(instances);
    if (m_EuclideanDistance == null)
      m_DistanceFunction = m_EuclideanDistance = new EuclideanDistance(
          instances);
    else
      m_EuclideanDistance.setInstances(instances);


    m_Instances = instances;

      setDistanceFunction( (DistanceFunction)
                            Utils.forName( DistanceFunction.class, 
                                           className, nnSearchClassSpec) );
    }
    else {
      setDistanceFunction(new EuclideanDistance());
    }
    
    setMeasurePerformance(Utils.getFlag('P',options));
  }

    if (insts.numInstances() == 0)
      throw new Exception(
    "CoverTree: Empty set of instances. Cannot build tree.");
    checkMissing(insts);
    if (m_EuclideanDistance == null)
      m_DistanceFunction = m_EuclideanDistance = new EuclideanDistance(insts);
    else
      m_EuclideanDistance.setInstances(insts);
    
    Stack<DistanceNode> point_set = new Stack<DistanceNode>();
    Stack<DistanceNode> consumed_set = new Stack<DistanceNode>();

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Examples of EuclideanDistance

Examples of weka.core.EuclideanDistance

Examples of weka.core.EuclideanDistance

Examples of weka.core.EuclideanDistance