Class Distance

java.lang.Object

org.ojalgo.data.proximity.Distance

public abstract class Distance
extends Object

Constructor Summary

Constructors

Constructor	Description
Distance()

Method Summary

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 Object

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

Constructor Details

Distance

public Distance()

Method Details

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)