本文整理汇总了Java中net.sf.javaml.clustering.evaluation.ClusterEvaluation类的典型用法代码示例。如果您正苦于以下问题：Java ClusterEvaluation类的具体用法？Java ClusterEvaluation怎么用？Java ClusterEvaluation使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
ClusterEvaluation类属于net.sf.javaml.clustering.evaluation包，在下文中一共展示了ClusterEvaluation类的5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: CustomIterativeKMeans
import net.sf.javaml.clustering.evaluation.ClusterEvaluation; //导入依赖的package包/类
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; //导入依赖的package包/类
/**
* 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; //导入依赖的package包/类
/**
* 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; //导入依赖的package包/类
/**
* 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; //导入依赖的package包/类
/**
* 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;
}