medusa.spectral

Class KMeansPoint

java.lang.Object

medusa.spectral.KMeansPoint

public class KMeansPoint
extends java.lang.Object

Represents an abstraction for a data point in two dimensional space

Constructor Summary

Constructors

Constructor and Description
KMeansPoint(java.lang.String label, double[] coords)
KMeansPoint(java.lang.String label, double _x, double _y) Creates a new instance of data point

Method Summary

Modifier and Type	Method and Description
void	assignToCluster(int _clusterNumber) Assigns the data point to a cluster
static double	distance(KMeansPoint dp1, KMeansPoint dp2) Returns the distance between two data points
int	getClusterNumber() Returns the cluster to which the data point belongs
double[]	getCoords()
int	getDimensions()
java.lang.String	getLabel()
static void	main(java.lang.String[] args) Main method -- to test the kMeansPoint class
java.lang.String	toDataString()
java.lang.String	toString() Returns a string representation of this kMeansPoint

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

KMeansPoint

public KMeansPoint(java.lang.String label,
                   double _x,
                   double _y)

Creates a new instance of data point

Parameters:

_x - value in dimension x

_y - value in dimension y

KMeansPoint

public KMeansPoint(java.lang.String label,
                   double[] coords)

Method Detail

getDimensions

public int getDimensions()

assignToCluster

public void assignToCluster(int _clusterNumber)

Assigns the data point to a cluster

Parameters:

_clusterNumber - the cluster to which this data point is to be assigned

getClusterNumber

public int getClusterNumber()

Returns the cluster to which the data point belongs

Returns:

the cluster number to which the data point belongs

getCoords

public double[] getCoords()

distance

public static double distance(KMeansPoint dp1,
                              KMeansPoint dp2)

Returns the distance between two data points

Parameters:

dp1 - the first data point

dp2 - the second data point

Returns:

the distance between the two data points

toString

public java.lang.String toString()

Returns a string representation of this kMeansPoint

Overrides:

toString in class java.lang.Object

Returns:

a string representation of this data point

toDataString

public java.lang.String toDataString()

main

public static void main(java.lang.String[] args)

Main method -- to test the kMeansPoint class

Parameters:

args - command line arguments

getLabel

public java.lang.String getLabel()