net.seninp.jmotif.text

Class CosineDistanceMatrix

java.lang.Object

net.seninp.jmotif.text.CosineDistanceMatrix

public class CosineDistanceMatrix
extends Object

Implements cosine distance matrix.

Author:

psenin

Constructor Summary

Constructors

Constructor and Description
CosineDistanceMatrix(HashMap<String,HashMap<String,Double>> tfidf) Builds a distance matrix.

Method Summary

Modifier and Type	Method and Description
double	distanceBetween(String keyA, String keyB) get the distance value between two keys.
double[][]	getDistances() Get the distances as matrix.
String[]	getRows() Get all the row names - i.e.
String	toString() Prints matrix.
void	transformForHC() This will subtract all distance values from 1 - so distance becomes inversed - good for clustering.

Methods inherited from class java.lang.Object

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

Constructor Detail

CosineDistanceMatrix

public CosineDistanceMatrix(HashMap<String,HashMap<String,Double>> tfidf)

Builds a distance matrix.

Parameters:

tfidf - The data to use.

Method Detail

getRows

public String[] getRows()

Get all the row names - i.e. keys.

Returns:

row names.

getDistances

public double[][] getDistances()

Get the distances as matrix.

Returns:

the distance matrix.

toString

public String toString()

Prints matrix.

Overrides:

toString in class Object

distanceBetween

public double distanceBetween(String keyA,
                              String keyB)

get the distance value between two keys.

Parameters:

keyA - first key.

keyB - second key.

Returns:

the distance between vectors.

transformForHC

public void transformForHC()

This will subtract all distance values from 1 - so distance becomes inversed - good for clustering.