本文整理汇总了Java中de.dfki.madm.operator.clustering.XMeansCore类的典型用法代码示例。如果您正苦于以下问题：Java XMeansCore类的具体用法？Java XMeansCore怎么用？Java XMeansCore使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
XMeansCore类属于de.dfki.madm.operator.clustering包，在下文中一共展示了XMeansCore类的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: generateInternalClusterModel
import de.dfki.madm.operator.clustering.XMeansCore; //导入依赖的package包/类
@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; //导入依赖的package包/类
@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; //导入依赖的package包/类
@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();
}