Module ojalgo
Package org.ojalgo.data.proximity

Class Distance

  • public abstract class Distance
extends java.lang.Object

    • Constructor Summary

      Constructors 
      Constructor Description
      Distance()  

    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static double angular​(float[] a, float[] b)  
      static double canberra​(float[] a, float[] b)  
      static double chebyshev​(float[] a, float[] b)  
      static double correlation​(float[] a, float[] b)  
      static double cosine​(double[] a, double[] b)
      Cosine distance = 1 - cosine similarity.
      static double cosine​(float[] a, float[] b)  
      static double cosine​(Access1D<?> a, Access1D<?> b)
      Cosine distance for matrices = 1 - cosine similarity.
      static double euclidean​(float[] a, float[] b)  
      static double hamming​(float[] a, float[] b)  
      static double hellinger​(float[] a, float[] b)  
      static double jaccard​(float[] a, float[] b)  
      static double manhattan​(float[] a, float[] b)  
      static double squaredEuclidean​(float[] a, float[] b)  

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • Distance

        public Distance()

    • Method Detail

      • angular

        public static double angular​(float[] a,
                             float[] b)

      • canberra

        public static double canberra​(float[] a,
                              float[] b)

      • chebyshev

        public static double chebyshev​(float[] a,
                               float[] b)

      • correlation

        public static double correlation​(float[] a,
                                 float[] b)

      • cosine

        public static double cosine​(Access1D<?> a,
                            Access1D<?> b)
        Cosine distance for matrices = 1 - cosine similarity.

      • cosine

        public static double cosine​(double[] a,
                            double[] b)
        Cosine distance = 1 - cosine similarity. Range [0, 2].

      • cosine

        public static double cosine​(float[] a,
                            float[] b)

      • euclidean

        public static double euclidean​(float[] a,
                               float[] b)

      • hamming

        public static double hamming​(float[] a,
                             float[] b)

      • hellinger

        public static double hellinger​(float[] a,
                               float[] b)

      • jaccard

        public static double jaccard​(float[] a,
                             float[] b)

      • manhattan

        public static double manhattan​(float[] a,
                               float[] b)

      • squaredEuclidean

        public static double squaredEuclidean​(float[] a,
                                      float[] b)