edu.stanford.nlp.linalg
Class AbstractMetric

java.lang.Object
  |
  +--edu.stanford.nlp.linalg.AbstractMetric

All Implemented Interfaces:

Metric, Similarity

Direct Known Subclasses:

L1, L2

public abstract class AbstractMetric

extends Object

implements Metric, Similarity

Class which defines distance and similarity functions once we have a norm

Constructor Summary

AbstractMetric()

Method Summary

double	distance(Array i, Array j) returns the distance between i and j according to the metric defined in this class
abstract double	norm(Array i) returns the norm of a vector in this metric
Array	normalize(Array i) normalizes vector i to have length 1 in the norm defined in this class
double	similarity(Array i, Array j) returns the similarity of document i and j according to the similarity measure defined in this class, which is 2-distance(i,j)

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractMetric

public AbstractMetric()

Method Detail

norm

public abstract double norm(Array i)

returns the norm of a vector in this metric

Specified by:

norm in interface Metric

distance

public double distance(Array i,
                       Array j)

returns the distance between i and j according to the metric defined in this class

Specified by:

distance in interface Metric

similarity

public double similarity(Array i,
                         Array j)

returns the similarity of document i and j according to the similarity measure defined in this class, which is 2-distance(i,j)

Specified by:

similarity in interface Similarity

normalize

public Array normalize(Array i)

normalizes vector i to have length 1 in the norm defined in this class

Specified by:

normalize in interface Metric