Package weka.clusterers
Class CheckClusterer
- java.lang.Object
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- weka.core.Check
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- weka.core.CheckScheme
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- weka.clusterers.CheckClusterer
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- All Implemented Interfaces:
OptionHandler
,RevisionHandler
public class CheckClusterer extends CheckScheme
Class for examining the capabilities and finding problems with clusterers. If you implement a clusterer using the WEKA.libraries, you should run the checks on it to ensure robustness and correct operation. Passing all the tests of this object does not mean bugs in the clusterer don't exist, but this will help find some common ones. Typical usage:java weka.clusterers.CheckClusterer -W clusterer_name -- clusterer_options
CheckClusterer reports on the following:- Clusterer abilities
- Possible command line options to the clusterer
- Whether the clusterer can predict nominal, numeric, string, date or relational class attributes.
- Whether the clusterer can handle numeric predictor attributes
- Whether the clusterer can handle nominal predictor attributes
- Whether the clusterer can handle string predictor attributes
- Whether the clusterer can handle date predictor attributes
- Whether the clusterer can handle relational predictor attributes
- Whether the clusterer can handle multi-instance data
- Whether the clusterer can handle missing predictor values
- Whether the clusterer can handle instance weights
- Correct functioning
- Correct initialisation during buildClusterer (i.e. no result changes when buildClusterer called repeatedly)
- Whether the clusterer alters the data pased to it (number of instances, instance order, instance weights, etc)
- Degenerate cases
- building clusterer with zero training instances
- all but one predictor attribute values missing
- all predictor attribute values missing
- all but one class values missing
- all class values missing
weka.clusterers.AbstractClustererTest
uses this class to test all the clusterers. Any changes here, have to be checked in that abstract test class, too. Valid options are:-D Turn on debugging output.
-S Silent mode - prints nothing to stdout.
-N <num> The number of instances in the datasets (default 20).
-nominal <num> The number of nominal attributes (default 2).
-nominal-values <num> The number of values for nominal attributes (default 1).
-numeric <num> The number of numeric attributes (default 1).
-string <num> The number of string attributes (default 1).
-date <num> The number of date attributes (default 1).
-relational <num> The number of relational attributes (default 1).
-num-instances-relational <num> The number of instances in relational/bag attributes (default 10).
-words <comma-separated-list> The words to use in string attributes.
-word-separators <chars> The word separators to use in string attributes.
-W Full name of the clusterer analyzed. eg: weka.clusterers.SimpleKMeans (default weka.clusterers.SimpleKMeans)
Options specific to clusterer weka.clusterers.SimpleKMeans:
-N <num> number of clusters. (default 2).
-V Display std. deviations for centroids.
-M Replace missing values with mean/mode.
-S <num> Random number seed. (default 10)
Options after -- are passed to the designated clusterer.- Version:
- $Revision: 1.11 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)
- See Also:
TestInstances
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Nested Class Summary
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Nested classes/interfaces inherited from class weka.core.CheckScheme
CheckScheme.PostProcessor
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Constructor Summary
Constructors Constructor Description CheckClusterer()
default constructor
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
doTests()
Begin the tests, reporting results to System.outClusterer
getClusterer()
Get the clusterer used as the clustererjava.lang.String[]
getOptions()
Gets the current settings of the CheckClusterer.java.lang.String
getRevision()
Returns the revision string.java.util.Enumeration
listOptions()
Returns an enumeration describing the available options.static void
main(java.lang.String[] args)
Test method for this classvoid
setClusterer(Clusterer newClusterer)
Set the clusterer for testing.void
setOptions(java.lang.String[] options)
Parses a given list of options.-
Methods inherited from class weka.core.CheckScheme
attributeTypeToString, getNumDate, getNumInstances, getNumInstancesRelational, getNumNominal, getNumNumeric, getNumRelational, getNumString, getPostProcessor, getWords, getWordSeparators, hasClasspathProblems, setNumDate, setNumInstances, setNumInstancesRelational, setNumNominal, setNumNumeric, setNumRelational, setNumString, setPostProcessor, setWords, setWordSeparators
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Method Detail
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classCheckScheme
- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
Parses a given list of options. Valid options are:-D Turn on debugging output.
-S Silent mode - prints nothing to stdout.
-N <num> The number of instances in the datasets (default 20).
-nominal <num> The number of nominal attributes (default 2).
-nominal-values <num> The number of values for nominal attributes (default 1).
-numeric <num> The number of numeric attributes (default 1).
-string <num> The number of string attributes (default 1).
-date <num> The number of date attributes (default 1).
-relational <num> The number of relational attributes (default 1).
-num-instances-relational <num> The number of instances in relational/bag attributes (default 10).
-words <comma-separated-list> The words to use in string attributes.
-word-separators <chars> The word separators to use in string attributes.
-W Full name of the clusterer analyzed. eg: weka.clusterers.SimpleKMeans (default weka.clusterers.SimpleKMeans)
Options specific to clusterer weka.clusterers.SimpleKMeans:
-N <num> number of clusters. (default 2).
-V Display std. deviations for centroids.
-M Replace missing values with mean/mode.
-S <num> Random number seed. (default 10)
- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classCheckScheme
- Parameters:
options
- the list of options as an array of strings- Throws:
java.lang.Exception
- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the CheckClusterer.- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classCheckScheme
- Returns:
- an array of strings suitable for passing to setOptions
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doTests
public void doTests()
Begin the tests, reporting results to System.out- Specified by:
doTests
in classCheckScheme
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setClusterer
public void setClusterer(Clusterer newClusterer)
Set the clusterer for testing.- Parameters:
newClusterer
- the Clusterer to use.
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getClusterer
public Clusterer getClusterer()
Get the clusterer used as the clusterer- Returns:
- the clusterer used as the clusterer
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Returns:
- the revision
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main
public static void main(java.lang.String[] args)
Test method for this class- Parameters:
args
- the commandline options
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