org.kramerlab.bmad.algorithms

Class AssociationGenerator

java.lang.Object

org.kramerlab.bmad.algorithms.AssociationGenerator

All Implemented Interfaces:

CandidateGenerator

public class AssociationGenerator
extends Object
implements CandidateGenerator

Implementation of the Association candidate generation method, which was used as first part of Miettinen's DBP algorithm. This algorithm has an additional parameter: confidence threshold. The results of the reconstruction strongly depend on this threshold.

Field Summary

Fields

Modifier and Type	Field and Description
protected double	confidenceThreshold

Constructor Summary

Constructors

Constructor and Description
AssociationGenerator(double confidenceThreshold)

Method Summary

Methods

Modifier and Type	Method and Description
BooleanMatrix	generateCandidates(BooleanMatrix a, int dimension) Generates candidates from the original matrix
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

confidenceThreshold

protected double confidenceThreshold

Constructor Detail

AssociationGenerator

public AssociationGenerator(double confidenceThreshold)

Method Detail

generateCandidates

public BooleanMatrix generateCandidates(BooleanMatrix a,
                               int dimension)

Description copied from interface: CandidateGenerator

Generates candidates from the original matrix

Specified by:

generateCandidates in interface CandidateGenerator

Parameters:

a - original matrix

dimension - number of basis rows (not used by most implementations)

Returns:

matrix with candidate concepts in the rows

toString

public String toString()

Overrides:

toString in class Object