本文整理匯總了Java中net.sf.javaml.clustering.evaluation.ClusterEvaluation類的典型用法代碼示例。如果您正苦於以下問題：Java ClusterEvaluation類的具體用法？Java ClusterEvaluation怎麽用？Java ClusterEvaluation使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
ClusterEvaluation類屬於net.sf.javaml.clustering.evaluation包，在下文中一共展示了ClusterEvaluation類的5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: CustomIterativeKMeans
import net.sf.javaml.clustering.evaluation.ClusterEvaluation; //導入依賴的package包/類
public CustomIterativeKMeans(int kMin, int kMax, int iterations, DistanceMeasure dm, ClusterEvaluation ce) {
this.kMin = kMin;
this.kMax = kMax;
this.iterations = iterations;
this.dm = dm;
this.ce = ce;
}
示例2: MultiKMeans
import net.sf.javaml.clustering.evaluation.ClusterEvaluation; //導入依賴的package包/類
/**
* XXX add doc
*
* @param clusters
* @param iterations
* @param repeats
* @param DistanceMeasure dm
* @param ClusterEvaluation ce
*/
public MultiKMeans(int clusters, int iterations, int repeats,
DistanceMeasure dm, ClusterEvaluation ce) {
this.clusters = clusters;
this.iterations = iterations;
this.repeats = repeats;
this.dm = dm;
this.ce = ce;
}
示例3: IterativeKMeans
import net.sf.javaml.clustering.evaluation.ClusterEvaluation; //導入依賴的package包/類
/**
* XXX add doc
*
* @param kMin
* @param kMax
* @param interations
* @param DistanceMeasure dm
* @param ClusterEvaluation ce
*
*/
public IterativeKMeans(int kMin, int kMax, int iterations, DistanceMeasure dm, ClusterEvaluation ce) {
this.kMin = kMin;
this.kMax = kMax;
this.iterations = iterations;
this.dm = dm;
this.ce = ce;
}
示例4: IterativeMultiKMeans
import net.sf.javaml.clustering.evaluation.ClusterEvaluation; //導入依賴的package包/類
/**
* XXX add doc
*
* @param kMin
* @param kMax
* @param iterations
* @param repeats
* @param DistanceMeasure dm
* @param ClusterEvaluation ce
*/
public IterativeMultiKMeans(int kMin, int kMax, int iterations, int repeats, DistanceMeasure dm,
ClusterEvaluation ce) {
this.kMax = kMax;
this.kMin = kMin;
this.iterations = iterations;
this.repeats = repeats;
this.dm = dm;
this.ce = ce;
}
示例5: IterativeFarthestFirst
import net.sf.javaml.clustering.evaluation.ClusterEvaluation; //導入依賴的package包/類
/**
* XXX DOC
*
* @param kMin
* @param kMax
* @param DistanceMeasure dm
* @param ClusterEvaluation ce
*/
public IterativeFarthestFirst(int kMin, int kMax, DistanceMeasure dm, ClusterEvaluation ce) {
this.kMin = kMin;
this.kMax = kMax;
this.dm = dm;
this.ce = ce;
}