public class ClusterGenerator extends AbstractClusterer
| Modifier and Type | Field and Description |
|---|---|
FloatOption |
clusterAddOption |
FloatOption |
clusterRemoveOption |
FloatOption |
joinClustersOption |
FloatOption |
positionOffsetOption |
FloatOption |
radiusDecreaseOption |
FloatOption |
radiusIncreaseOption |
IntOption |
timeWindowOption |
clustererRandom, clustering, evaluateMicroClusteringOption, modelContext, randomSeed, randomSeedOption, trainingWeightSeenByModelclassOptionNamesToPreparedObjects, options| Constructor and Description |
|---|
ClusterGenerator() |
| Modifier and Type | Method and Description |
|---|---|
Clustering |
getClusteringResult() |
Clustering |
getMicroClusteringResult() |
void |
getModelDescription(StringBuilder out,
int indent) |
protected Measurement[] |
getModelMeasurementsImpl() |
double[] |
getVotesForInstance(weka.core.Instance inst) |
boolean |
implementsMicroClusterer() |
boolean |
isRandomizable() |
boolean |
keepClassLabel() |
void |
resetLearningImpl() |
void |
setSourceClustering(Clustering source) |
void |
trainOnInstanceImpl(weka.core.Instance inst) |
contextIsCompatible, copy, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModelContext, getModelMeasurements, getNominalValueString, getPurposeString, getSubClusterers, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstancediscoverOptionsViaReflection, getCLICreationString, getOptions, getPreparedClassOption, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUsecopy, measureByteSize, measureByteSize, toStringclone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitgetCLICreationString, getOptions, prepareForUse, prepareForUsemeasureByteSizepublic IntOption timeWindowOption
public FloatOption radiusDecreaseOption
public FloatOption radiusIncreaseOption
public FloatOption positionOffsetOption
public FloatOption clusterRemoveOption
public FloatOption joinClustersOption
public FloatOption clusterAddOption
public void resetLearningImpl()
resetLearningImpl in class AbstractClustererpublic void trainOnInstanceImpl(weka.core.Instance inst)
trainOnInstanceImpl in class AbstractClustererpublic boolean implementsMicroClusterer()
implementsMicroClusterer in interface ClustererimplementsMicroClusterer in class AbstractClustererpublic void setSourceClustering(Clustering source)
public Clustering getMicroClusteringResult()
getMicroClusteringResult in interface ClusterergetMicroClusteringResult in class AbstractClustererpublic Clustering getClusteringResult()
protected Measurement[] getModelMeasurementsImpl()
getModelMeasurementsImpl in class AbstractClustererpublic void getModelDescription(StringBuilder out, int indent)
getModelDescription in class AbstractClustererpublic boolean isRandomizable()
public boolean keepClassLabel()
keepClassLabel in interface ClustererkeepClassLabel in class AbstractClustererpublic double[] getVotesForInstance(weka.core.Instance inst)
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