public void run() {
final EdgeData data = source.getValue();
final int nodes = data.getSize();
eigenMetric.eigensolve("V", nodes, data);
VertexData result = new VertexData(nodes);
for (int i = 0; i < nodes; i++) {
result.set(i, eigenMetric.evResult[nodes + i]);
}
target.setValue(result);
}
public void visit(int from, int into, double e) {
if (e < minAbsValue) {
return;
}
final double toMaxRatio = e / max;
if (toMaxRatio < minToMaxRatio) {
return;
}
result.set(from, into, e);
}
public void run() {
final EdgeData data = Metric.fetch(metric);
final EdgeMaxVisitor max = new EdgeMaxVisitor();
data.visitNonDef(max);
if (!max.isMaxSet() || max.getMax() == 0) {
target.setValue(data);
return;
}
final EdgeData result =
EdgeDataFactory.sparse(data.isSymmetric(), data.getDefElem(), data.getSize());
data.visitNonDef(new ThresholdVisitor(minToMaxRatio, minAbsValue, max.getMax(), result));
target.setValue(result);
}
