Class SparseManhattanDistance

java.lang.Object

smile.math.distance.SparseManhattanDistance

All Implemented Interfaces:

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

public class SparseManhattanDistance
extends Object
implements Metric<SparseArray>

Manhattan distance, also known as L₁ distance or L₁ norm, is the sum of the (absolute) differences of their coordinates.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
SparseManhattanDistance()	Constructor.
SparseManhattanDistance(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 Object

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

Methods inherited from interface Distance

apply, applyAsDouble, pdist, pdist

Constructor Details

SparseManhattanDistance

public SparseManhattanDistance()

Constructor.

SparseManhattanDistance

public SparseManhattanDistance(double[] weight)

Constructor.

Parameters:

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.