edu.ucla.sspace.clustering

Enum AutomaticStopClustering.Measure

java.lang.Object

java.lang.Enum<AutomaticStopClustering.Measure>

edu.ucla.sspace.clustering.AutomaticStopClustering.Measure

All Implemented Interfaces:

Serializable, Comparable<AutomaticStopClustering.Measure>

Enclosing class:

AutomaticStopClustering

public static enum AutomaticStopClustering.Measure
extends Enum<AutomaticStopClustering.Measure>

The available stopping criteria. For each measure, let I2(k) be the objective method for evaluating the quality of the k-means clustering with k clusters.

Enum Constant Summary

Enum Constants

Enum Constant and Description
PK1 For each number of clusters k, the score for is defined as W(k) = (I2(k) - mean(I2(k_i))) / std(I2(k_i)) This method will select the smallest k such that W(k) is greater than or equal to some threshold.
PK2 For each number of clusters k, the score is defined as W(k) = I2(k) / I2(k-1) This method will select the smallest k such that W(k) is greater than 1 + std(I2(k-1))
PK3 For each number of clusters k, the score is defined as W(k) = 2 * I2(k) / (I2(k-1) + I2(k+1)) This method will select the smallest k such that W(k) is greater than 1 + std(I2(k-1))

Method Summary

Methods

Modifier and Type	Method and Description
static AutomaticStopClustering.Measure	valueOf(String name) Returns the enum constant of this type with the specified name.
static AutomaticStopClustering.Measure[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

PK1

public static final AutomaticStopClustering.Measure PK1

For each number of clusters k, the score for is defined as W(k) = (I2(k) - mean(I2(k_i))) / std(I2(k_i)) This method will select the smallest k such that W(k) is greater than or equal to some threshold.

PK2

public static final AutomaticStopClustering.Measure PK2

For each number of clusters k, the score is defined as W(k) = I2(k) / I2(k-1) This method will select the smallest k such that W(k) is greater than 1 + std(I2(k-1))

PK3

public static final AutomaticStopClustering.Measure PK3

For each number of clusters k, the score is defined as W(k) = 2 * I2(k) / (I2(k-1) + I2(k+1)) This method will select the smallest k such that W(k) is greater than 1 + std(I2(k-1))

Method Detail

values

public static AutomaticStopClustering.Measure[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (AutomaticStopClustering.Measure c : AutomaticStopClustering.Measure.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static AutomaticStopClustering.Measure valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null