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:

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 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
- 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.