moa.clusterers.streamkm.StreamKM Class Reference

Inheritance diagram for moa.clusterers.streamkm.StreamKM:

Collaboration diagram for moa.clusterers.streamkm.StreamKM:

List of all members.

Public Member Functions
void	resetLearningImpl ()
void	trainOnInstanceImpl (Instance inst)
void	getModelDescription (StringBuilder out, int indent)
boolean	isRandomizable ()
double[]	getVotesForInstance (Instance inst)
Clustering	getClusteringResult ()
double	lloydPlusPlus (int k, int n, int d, Point points[], Point centres[])
double	targetFunctionValue (int k, int n, Point[] centres, Point[] points)
	computes the target function for the given pointarray points[] (of size n) with the given array of centres centres[] (of size k)
Public Attributes
IntOption	sizeCoresetOption
IntOption	numClustersOption
IntOption	widthOption
IntOption	randomSeedOption
Protected Member Functions
Measurement[]	getModelMeasurementsImpl ()
Protected Attributes
MTRandom	clustererRandom
Point[]	centresStreamingCoreset
int	numberInstances
int	dimension
int	length
int	numberOfCentres
int	coresetsize
BucketManager	manager
boolean	initialized = false

---

Detailed Description

Author:

Marcel R. Ackermann, Christiane Lammersen, Marcus Maertens, Christoph Raupach, Christian Sohler, Kamil Swierkot

Definition at line 17 of file StreamKM.java.

---

Member Function Documentation

Clustering moa.clusterers.streamkm.StreamKM.getClusteringResult

(

)

Implements moa.clusterers.Clusterer.

Definition at line 114 of file StreamKM.java.

Here is the call graph for this function:

void moa.clusterers.streamkm.StreamKM.getModelDescription	(	StringBuilder	out,
		int	indent
	)		[virtual]

Implements moa.clusterers.AbstractClusterer.

Definition at line 100 of file StreamKM.java.

Measurement [] moa.clusterers.streamkm.StreamKM.getModelMeasurementsImpl

(

)

[protected, virtual]

Implements moa.clusterers.AbstractClusterer.

Definition at line 95 of file StreamKM.java.

double [] moa.clusterers.streamkm.StreamKM.getVotesForInstance

(

Instance

inst

)

Implements moa.clusterers.Clusterer.

Definition at line 108 of file StreamKM.java.

boolean moa.clusterers.streamkm.StreamKM.isRandomizable

(

)

Implements moa.clusterers.Clusterer.

Definition at line 104 of file StreamKM.java.

double moa.clusterers.streamkm.StreamKM.lloydPlusPlus	(	int	k,
		int	n,
		int	d,
		Point	points[],
		Point	centres[]
	)

Definition at line 130 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

Here is the call graph for this function:

Here is the caller graph for this function:

void moa.clusterers.streamkm.StreamKM.resetLearningImpl

(

)

[virtual]

Implements moa.clusterers.AbstractClusterer.

Definition at line 49 of file StreamKM.java.

Here is the call graph for this function:

double moa.clusterers.streamkm.StreamKM.targetFunctionValue	(	int	k,
		int	n,
		Point[]	centres,
		Point[]	points
	)

computes the target function for the given pointarray points[] (of size n) with the given array of centres centres[] (of size k)

Definition at line 271 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.lloydPlusPlus().

Here is the caller graph for this function:

void moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl

(

Instance

inst

)

[virtual]

Implements moa.clusterers.AbstractClusterer.

Definition at line 61 of file StreamKM.java.

Here is the call graph for this function:

---

Member Data Documentation

Point [] moa.clusterers.streamkm.StreamKM.centresStreamingCoreset [protected]

Definition at line 33 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.getClusteringResult(), moa.clusterers.streamkm.StreamKM.resetLearningImpl(), and moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

MTRandom moa.clusterers.streamkm.StreamKM.clustererRandom [protected]

Reimplemented from moa.clusterers.AbstractClusterer.

Definition at line 32 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl(), and moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

int moa.clusterers.streamkm.StreamKM.coresetsize [protected]

Definition at line 40 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl(), and moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

int moa.clusterers.streamkm.StreamKM.dimension [protected]

Definition at line 37 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

boolean moa.clusterers.streamkm.StreamKM.initialized = false [protected]

Definition at line 44 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.getClusteringResult(), moa.clusterers.streamkm.StreamKM.resetLearningImpl(), and moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

int moa.clusterers.streamkm.StreamKM.length [protected]

Definition at line 38 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl(), and moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

BucketManager moa.clusterers.streamkm.StreamKM.manager [protected]

Definition at line 42 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

int moa.clusterers.streamkm.StreamKM.numberInstances [protected]

Definition at line 35 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

int moa.clusterers.streamkm.StreamKM.numberOfCentres [protected]

Definition at line 39 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl(), and moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

IntOption moa.clusterers.streamkm.StreamKM.numClustersOption

Initial value:

 new IntOption(
                        "numClusters", 'k',
                        "Number of clusters to compute.", 5)

Definition at line 22 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl().

IntOption moa.clusterers.streamkm.StreamKM.randomSeedOption

Initial value:

 new IntOption("randomSeed", 'r',
                                        "Seed for random behaviour of the classifier.", 1)

Reimplemented from moa.clusterers.AbstractClusterer.

Definition at line 29 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl().

IntOption moa.clusterers.streamkm.StreamKM.sizeCoresetOption

Initial value:

 new IntOption("sizeCoreset",
                        's', "Size of the coreset.", 10000)

Definition at line 19 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl().

IntOption moa.clusterers.streamkm.StreamKM.widthOption

Initial value:

 new IntOption("width",
                        'w', "Size of Window for training learner.", 100000, 0, Integer.MAX_VALUE)

Definition at line 26 of file StreamKM.java.

Referenced by moa.clusterers.streamkm.StreamKM.resetLearningImpl(), and moa.clusterers.streamkm.StreamKM.trainOnInstanceImpl().

---

The documentation for this class was generated from the following file:

• StreamKM.java