MOA 12.03
Real Time Analytics for Data Streams
|
Public Member Functions | |
Clustream () | |
void | resetLearningImpl () |
void | trainOnInstanceImpl (Instance instance) |
Clustering | getMicroClusteringResult () |
boolean | implementsMicroClusterer () |
Clustering | getClusteringResult () |
String | getName () |
void | getModelDescription (StringBuilder out, int indent) |
boolean | isRandomizable () |
double[] | getVotesForInstance (Instance inst) |
Static Public Member Functions | |
static Clustering | kMeans (int k, List<?extends Cluster > data) |
static Clustering | kMeans (int k, Cluster[] centers, List<?extends Cluster > data) |
Public Attributes | |
IntOption | timeWindowOption |
IntOption | maxNumKernelsOption |
IntOption | kernelRadiFactorOption |
Protected Member Functions | |
Measurement[] | getModelMeasurementsImpl () |
Definition at line 37 of file Clustream.java.
moa.clusterers.clustream.Clustream.Clustream | ( | ) |
Definition at line 61 of file Clustream.java.
Clustering moa.clusterers.clustream.Clustream.getClusteringResult | ( | ) |
Implements moa.clusterers.Clusterer.
Definition at line 197 of file Clustream.java.
Clustering moa.clusterers.clustream.Clustream.getMicroClusteringResult | ( | ) |
Reimplemented from moa.clusterers.AbstractClusterer.
Definition at line 178 of file Clustream.java.
void moa.clusterers.clustream.Clustream.getModelDescription | ( | StringBuilder | out, |
int | indent | ||
) | [virtual] |
Implements moa.clusterers.AbstractClusterer.
Definition at line 320 of file Clustream.java.
Measurement [] moa.clusterers.clustream.Clustream.getModelMeasurementsImpl | ( | ) | [protected, virtual] |
Implements moa.clusterers.AbstractClusterer.
Definition at line 315 of file Clustream.java.
String moa.clusterers.clustream.Clustream.getName | ( | ) |
Definition at line 201 of file Clustream.java.
double [] moa.clusterers.clustream.Clustream.getVotesForInstance | ( | Instance | inst | ) |
Implements moa.clusterers.Clusterer.
Definition at line 328 of file Clustream.java.
boolean moa.clusterers.clustream.Clustream.implementsMicroClusterer | ( | ) |
Reimplemented from moa.clusterers.AbstractClusterer.
Definition at line 192 of file Clustream.java.
boolean moa.clusterers.clustream.Clustream.isRandomizable | ( | ) |
Implements moa.clusterers.Clusterer.
Definition at line 324 of file Clustream.java.
static Clustering moa.clusterers.clustream.Clustream.kMeans | ( | int | k, |
List<?extends Cluster > | data | ||
) | [static] |
Definition at line 224 of file Clustream.java.
Referenced by moa.clusterers.clustream.Clustream.trainOnInstanceImpl().
static Clustering moa.clusterers.clustream.Clustream.kMeans | ( | int | k, |
Cluster[] | centers, | ||
List<?extends Cluster > | data | ||
) | [static] |
void moa.clusterers.clustream.Clustream.resetLearningImpl | ( | ) | [virtual] |
Implements moa.clusterers.AbstractClusterer.
Definition at line 66 of file Clustream.java.
void moa.clusterers.clustream.Clustream.trainOnInstanceImpl | ( | Instance | instance | ) | [virtual] |
Implements moa.clusterers.AbstractClusterer.
Definition at line 77 of file Clustream.java.
new IntOption( "kernelRadiFactor", 't', "Multiplier for the kernel radius", 2)
Definition at line 48 of file Clustream.java.
Referenced by moa.clusterers.clustream.Clustream.resetLearningImpl().
new IntOption( "maxNumKernels", 'k', "Maximum number of micro kernels to use.", 100)
Definition at line 44 of file Clustream.java.
Referenced by moa.clusterers.clustream.Clustream.resetLearningImpl().
new IntOption("horizon", 'h', "Rang of the window.", 1000)
Definition at line 41 of file Clustream.java.
Referenced by moa.clusterers.clustream.Clustream.resetLearningImpl().