本文整理匯總了Java中de.dfki.madm.operator.clustering.XMeansCore.doXMean方法的典型用法代碼示例。如果您正苦於以下問題：Java XMeansCore.doXMean方法的具體用法？Java XMeansCore.doXMean怎麽用？Java XMeansCore.doXMean使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類de.dfki.madm.operator.clustering.XMeansCore的用法示例。
在下文中一共展示了XMeansCore.doXMean方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: generateInternalClusterModel
import de.dfki.madm.operator.clustering.XMeansCore; //導入方法依賴的package包/類
@Override
protected ClusterModel generateInternalClusterModel(ExampleSet eSet) throws OperatorException {
DistanceMeasure measure = getInitializedMeasure(eSet);
int k_max = getParameterAsInt(PARAMETER_K_Max);
int k_min = getParameterAsInt(PARAMETER_K_Min);
boolean kpp = getParameterAsBoolean(KMeanspp.PARAMETER_USE_KPP);
String fast_k = getParameterAsString(ClusteringAlgorithms.PARAMETER_CLUSTERING_ALGORITHM);
int maxOptimizationSteps = getParameterAsInt(PARAMETER_MAX_OPTIMIZATION_STEPS);
int maxRuns = getParameterAsInt(PARAMETER_MAX_RUNS);
XMeansCore xm = new XMeansCore(eSet, k_min, k_max, kpp, maxOptimizationSteps, maxRuns, Description, measure, fast_k);
xm.setExecutingOperator(this);
return xm.doXMean();
}
示例2: generateClusterModel
import de.dfki.madm.operator.clustering.XMeansCore; //導入方法依賴的package包/類
@Override
public ClusterModel generateClusterModel(ExampleSet eSet) throws OperatorException {
DistanceMeasure measure = measureHelper.getInitializedMeasure(eSet);
int k_max = getParameterAsInt(PARAMETER_K_Max);
int k_min = getParameterAsInt(PARAMETER_K_Min);
boolean kpp = getParameterAsBoolean(KMeanspp.PARAMETER_USE_KPP);
String fast_k = getParameterAsString(ClusteringAlgorithms.PARAMETER_CLUSTERING_ALGORITHM);
int maxOptimizationSteps = getParameterAsInt(PARAMETER_MAX_OPTIMIZATION_STEPS);
int maxRuns = getParameterAsInt(PARAMETER_MAX_RUNS);
XMeansCore xm = new XMeansCore(eSet, k_min, k_max, kpp, maxOptimizationSteps, maxRuns, Description, measure, fast_k);
return xm.doXMean();
}
示例3: generateClusterModel
import de.dfki.madm.operator.clustering.XMeansCore; //導入方法依賴的package包/類
@Override
public ClusterModel generateClusterModel(ExampleSet eSet) throws OperatorException {
DistanceMeasure measure = measureHelper.getInitializedMeasure(eSet);
int k_max = getParameterAsInt(PARAMETER_K_Max);
int k_min = getParameterAsInt(PARAMETER_K_Min);
boolean kpp = getParameterAsBoolean(KMeanspp.PARAMETER_USE_KPP);
String fast_k = getParameterAsString(ClusteringAlgorithms.PARAMETER_CLUSTERING_ALGORITHM);
int maxOptimizationSteps = getParameterAsInt(PARAMETER_MAX_OPTIMIZATION_STEPS);
int maxRuns = getParameterAsInt(PARAMETER_MAX_RUNS);
XMeansCore xm = new XMeansCore(eSet, k_min, k_max, kpp, maxOptimizationSteps, maxRuns, Description, measure,fast_k);
return xm.doXMean();
}