magpie.cluster

Class WekaClusterer

java.lang.Object

magpie.cluster.BaseClusterer

magpie.cluster.WekaClusterer

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Commandable, Options, Printable

public class WekaClusterer
extends BaseClusterer

Use Weka to cluster data.

Usage: <method> [<options...>]
method: Method used to cluster data.
options...: Options for the clusterer

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WekaClusterer()

Method Summary

Modifier and Type	Method and Description
WekaClusterer	clone()
protected java.util.List<java.lang.String>	getClustererDetails(boolean htmlFormat) Get any user-specified options of this clusterer.
protected static weka.clusterers.AbstractClusterer	instantiateClusterer(java.lang.String Name, java.lang.String[] Options) Generate a new instance of a Weka-based clusterer.
protected int[]	label_protected(Dataset Data) Actual implementation of BaseClusterer.label(magpie.data.Dataset).
protected int	NClusters_protected() Actual implementation of BaseClusterer.NClusters().
java.lang.String	printUsage() Print out required format for options.
void	setOptions(java.util.List<java.lang.Object> OptionsObj) Set any options for this object.
protected void	train_protected(Dataset Data) Perform the actual training.

Methods inherited from class magpie.cluster.BaseClusterer

about, getCluster, isTrained, label, NClusters, partitionDataset, printCommand, printDescription, runCommand, setAttributeSelector, train

Methods inherited from class java.lang.Object

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

Constructor Detail

WekaClusterer

public WekaClusterer()

Method Detail

clone

public WekaClusterer clone()

Overrides:

clone in class BaseClusterer

instantiateClusterer

protected static weka.clusterers.AbstractClusterer instantiateClusterer(java.lang.String Name,
                                                                        java.lang.String[] Options)

Generate a new instance of a Weka-based clusterer.

Parameters:

Name - Name of clusterer

Options - List of options

Returns:

New instance, as requested

setOptions

public void setOptions(java.util.List<java.lang.Object> OptionsObj)
                throws java.lang.Exception

Description copied from interface: Options

Set any options for this object. If parsing the options fails, return an Exception with the usage as its message.

Parameters:

OptionsObj - Array of options as Objects - can be null

Throws:

java.lang.Exception - if problem with inputs

printUsage

public java.lang.String printUsage()

Description copied from interface: Options

Print out required format for options. For consistency, should start with "Usage: ".

Returns:

Usage for this function

NClusters_protected

protected int NClusters_protected()

Description copied from class: BaseClusterer

Actual implementation of BaseClusterer.NClusters().

Specified by:

NClusters_protected in class BaseClusterer

Returns:

How many different clusters are defined

train_protected

protected void train_protected(Dataset Data)

Description copied from class: BaseClusterer

Perform the actual training.

Specified by:

train_protected in class BaseClusterer

Parameters:

Data - Dataset to use for training

label_protected

protected int[] label_protected(Dataset Data)

Description copied from class: BaseClusterer

Actual implementation of BaseClusterer.label(magpie.data.Dataset).

Specified by:

label_protected in class BaseClusterer

Parameters:

Data - Dataset to be labeled

Returns:

List of most likely cluster for each entry

getClustererDetails

protected java.util.List<java.lang.String> getClustererDetails(boolean htmlFormat)

Description copied from class: BaseClusterer

Get any user-specified options of this clusterer. Used with BaseClusterer.printDescription(boolean)

Specified by:

getClustererDetails in class BaseClusterer

Returns:

List of clusterer options