private int[] getHashes(LireFeature feature) {
// result = new int[maximumHits];
hashingResultScoreDocs.clear();
maxDistance = 0f;
tmpScore = 0f;
int rep = 0;
LireFeature tmpFeature;
for (Iterator<LireFeature> iterator = representatives.iterator(); iterator.hasNext(); ) {
tmpFeature = iterator.next();
tmpScore = tmpFeature.getDistance(feature);
if (hashingResultScoreDocs.size() < maximumHits) {
hashingResultScoreDocs.add(new SimpleResult(tmpScore, null, rep));
maxDistance = Math.max(maxDistance, tmpScore);
} else if (tmpScore < maxDistance) {
hashingResultScoreDocs.add(new SimpleResult(tmpScore, null, rep));
}
while (hashingResultScoreDocs.size() > maximumHits) {
hashingResultScoreDocs.remove(hashingResultScoreDocs.last());
maxDistance = hashingResultScoreDocs.last().getDistance();
}
rep++;
}
rep = 0;
for (Iterator<SimpleResult> iterator = hashingResultScoreDocs.iterator();
iterator.hasNext(); ) {
SimpleResult next = iterator.next();
result[rep] = next.getIndexNumber();
rep++;
}
return result;
}
