本文整理汇总了Java中net.semanticmetadata.lire.utils.MetricsUtils.distL2方法的典型用法代码示例。如果您正苦于以下问题：Java MetricsUtils.distL2方法的具体用法？Java MetricsUtils.distL2怎么用？Java MetricsUtils.distL2使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类net.semanticmetadata.lire.utils.MetricsUtils的用法示例。
在下文中一共展示了MetricsUtils.distL2方法的7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: getDistance
import net.semanticmetadata.lire.utils.MetricsUtils; //导入方法依赖的package包/类
public float getDistance(LireFeature vd) {
// Check if instance of the right class ...
if (!(vd instanceof SimpleColorHistogram))
throw new UnsupportedOperationException("Wrong descriptor.");
// casting ...
SimpleColorHistogram ch = (SimpleColorHistogram) vd;
// check if parameters are fitting ...
if ((ch.histogram.length != histogram.length) || (ch.histogramType != histogramType))
throw new UnsupportedOperationException("Histogram lengths or color spaces do not match");
// do the comparison ...
double sum = 0;
if (distFunc == DistanceFunction.JSD)
return (float) MetricsUtils.jsd(histogram, ch.histogram);
else if (distFunc == DistanceFunction.TANIMOTO)
return (float) MetricsUtils.tanimoto(histogram, ch.histogram);
else if (distFunc == DistanceFunction.L1)
return (float) MetricsUtils.distL1(histogram, ch.histogram);
else
return (float) MetricsUtils.distL2(histogram, ch.histogram);
}
示例2: getDistance
import net.semanticmetadata.lire.utils.MetricsUtils; //导入方法依赖的package包/类
@Override
public float getDistance(LireFeature feature) {
double k1 = 1.2, b = 0.75;
double[] hist1 = new double[hist.length], hist2 = new double[hist.length];
System.arraycopy(hist, 0, hist1, 0, hist.length);
System.arraycopy(((SimpleFeature) feature).hist, 0, hist2, 0, hist.length);
// weighting ...
// double d1=0d, d2=0d;
// for (int i = 0; i < hist1.length; i++)
// d1 += hist1[i];
// for (int i = 0; i < hist2.length; i++)
// d2 += hist2[i];
for (int i = 0; i < hist1.length; i++) {
// hist1[i] = (hist1[i]*(k1+1.0))/(hist1[i] + k1*(1-b+b*d1/TestNister.avgDocLength)) * Math.log((10200-TestNister.df[i]+0.5)/(TestNister.df[i]+0.5));
// hist2[i] = (hist2[i]*(k1+1.0))/(hist2[i] + k1*(1-b+b*d1/TestNister.avgDocLength)) * Math.log((10200-TestNister.df[i]+0.5)/(TestNister.df[i]+0.5));
if (hist1[i] > 0) hist1[i] = 1 + Math.log(hist1[i]);
if (hist2[i] > 0) hist2[i] = 1 + Math.log(hist2[i]);
}
// double dist = (1f - MetricsUtils.cosineCoefficient(hist1, hist2));
// if (dist<0) {
// System.out.println(dist);
// dist = 0;
// }
return (float) MetricsUtils.distL2(hist1, hist2);
}
示例3: calculateStress
import net.semanticmetadata.lire.utils.MetricsUtils; //导入方法依赖的package包/类
public double calculateStress(List<double[]> features) {
double result = 0d;
for (Iterator<Integer> iterator = members.iterator(); iterator.hasNext(); ) {
int member = iterator.next();
double[] feature = features.get(member);
result += MetricsUtils.distL2(center, feature);
}
return result;
}
示例4: getDistance
import net.semanticmetadata.lire.utils.MetricsUtils; //导入方法依赖的package包/类
public double getDistance(double[] feature) {
return MetricsUtils.distL2(center, feature);
}
示例5: getDistance
import net.semanticmetadata.lire.utils.MetricsUtils; //导入方法依赖的package包/类
public float getDistance(LireFeature feature) {
if (!(feature instanceof MSERFeature)) return -1;
return (float) MetricsUtils.distL2(descriptor, ((MSERFeature) feature).descriptor);
}
示例6: getDistance
import net.semanticmetadata.lire.utils.MetricsUtils; //导入方法依赖的package包/类
public float getDistance(LireFeature feature) {
if (!(feature instanceof SurfFeature)) return -1;
return (float) MetricsUtils.distL2(descriptor, ((SurfFeature) feature).descriptor);
}
示例7: descriptorDistance
import net.semanticmetadata.lire.utils.MetricsUtils; //导入方法依赖的package包/类
public float descriptorDistance(Feature f) {
if (!(f instanceof Feature)) return -1;
return (float) MetricsUtils.distL2(descriptor, ((Feature) f).descriptor);
}