org.licas.ai_solver.central.grid

Class EntropyGrid

java.lang.Object

org.licas.ai_solver.central.grid.HyperHeuristicGrid

org.licas.ai_solver.central.grid.EntropyGrid

public class EntropyGrid
extends HyperHeuristicGrid

This grid compares data rows of objects for similarity and creates an entropy-style cluster set based on objects with the same count value.

Author:

Kieran Greer

Field Summary

Fields

Modifier and Type	Field and Description
protected java.lang.String	gridName The name of the grid

Fields inherited from class org.licas.ai_solver.central.grid.HyperHeuristicGrid

errorFeedback, gridSolution, gridType, lib

Constructor Summary

Constructors

Constructor and Description
EntropyGrid(java.lang.String separator) Create a new instance of EntropyGrid.

Method Summary

Methods

Modifier and Type	Method and Description
java.util.ArrayList	getClusterIndexes() Get the grouped index sets for the input data, for each cluster.
java.util.ArrayList	getClusters() Get the list of concepts grouped together into each cluster.
java.util.ArrayList	getGridCells() Get the array of grid cell values.
Result	getGridSolution() Get the list of solutions that are part of a best match.
protected void	initialiseData() Initialise the data for solving.
void	resetValues() Reset some values
void	setGridCells(java.util.ArrayList theGridCells) Set the array of grid of cell values to process.
void	setGridName(java.lang.String theGridName) Set the name of the grid.
void	solve() Solve the currently saved grid.

Methods inherited from class org.licas.ai_solver.central.grid.HyperHeuristicGrid

getErrorFeedback, getGridName, getGridType

Methods inherited from class java.lang.Object

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

Field Detail

gridName

protected java.lang.String gridName

The name of the grid

Constructor Detail

EntropyGrid

public EntropyGrid(java.lang.String separator)

Create a new instance of EntropyGrid. Larger value assumed to be better.

Parameters:

separator - the dataset value tokenizer.

Method Detail

resetValues

public void resetValues()

Reset some values

solve

public void solve()
           throws java.lang.Exception

Solve the currently saved grid.

Specified by:

solve in class HyperHeuristicGrid

Throws:

java.lang.Exception - any error.

initialiseData

protected void initialiseData()
                       throws java.lang.Exception

Initialise the data for solving.

Throws:

java.lang.Exception - any error.

setGridName

public void setGridName(java.lang.String theGridName)

Set the name of the grid.

Overrides:

setGridName in class HyperHeuristicGrid

Parameters:

theGridName - the name of the grid.

setGridCells

public void setGridCells(java.util.ArrayList theGridCells)

Set the array of grid of cell values to process.

Parameters:

theGridCells - the array of cell values.

getGridCells

public java.util.ArrayList getGridCells()

Get the array of grid cell values.

Returns:

the value of gridCells.

getClusters

public java.util.ArrayList getClusters()

Get the list of concepts grouped together into each cluster.

Returns:

the value of clusters.

getClusterIndexes

public java.util.ArrayList getClusterIndexes()

Get the grouped index sets for the input data, for each cluster.

Returns:

the value of clusterIndexes.

getGridSolution

public Result getGridSolution()

Get the list of solutions that are part of a best match.

Specified by:

getGridSolution in class HyperHeuristicGrid

Returns:

the best matching solutions that optimise the score.