Package smile.math.distance

Class SparseMinkowskiDistance

java.lang.Object

smile.math.distance.SparseMinkowskiDistance

All Implemented Interfaces:

Serializable, ToDoubleBiFunction<SparseArray,SparseArray>, Distance<SparseArray>, Metric<SparseArray>

public class SparseMinkowskiDistance
extends Object
implements Metric<SparseArray>

Minkowski distance of order p or L_p-norm, is a generalization of Euclidean distance that is actually L₂-norm. You may also provide a specified weight vector.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
SparseMinkowskiDistance(int p)	Constructor.
SparseMinkowskiDistance(int p, double[] weight)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	d(SparseArray x, SparseArray y)	Returns the distance measure between two objects.
String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface smile.math.distance.Distance

apply, applyAsDouble, D, D

Constructor Details

SparseMinkowskiDistance

public SparseMinkowskiDistance(int p)

Constructor.

Parameters:

p - the order of Minkowski distance.

SparseMinkowskiDistance

public SparseMinkowskiDistance(int p,
 double[] weight)

Constructor.

Parameters:

p - the order of Minkowski distance.

weight - the weight vector.

Method Details

toString

public String toString()

Overrides:

toString in class Object

d

public double d(SparseArray x,
 SparseArray y)

Description copied from interface: Distance

Returns the distance measure between two objects.

Specified by:

d in interface Distance<SparseArray>

Parameters:

x - an object.

y - an object.

Returns:

the distance.