public void assignLabels( LingoProcessingContext context, DoubleMatrix2D stemCos, IntIntOpenHashMap filteredRowToStemIndex, DoubleMatrix2D phraseCos )
{
PreprocessingContext preprocessingContext = context.preprocessingContext;
int firstPhraseIndex = preprocessingContext.allLabels.firstPhraseIndex;
int [] labelsFeatureIndex = preprocessingContext.allLabels.featureIndex;
int [] mostFrequentOriginalWordIndex = preprocessingContext.allStems.mostFrequentOriginalWordIndex;
int desiredClusterCount = stemCos.columns();
IntArrayList clusterLabelFeatureIndex = new IntArrayList(
desiredClusterCount);
DoubleArrayList clusterLabelScore = new DoubleArrayList(desiredClusterCount);
for (int label = 0; label < desiredClusterCount; label++)
{
Pair<int, int> stemMax = max(stemCos);
Pair<int, int> phraseMax = max(phraseCos);
if (stemMax == null && phraseMax == null)
{
break;
}
double stemScore = stemMax != null ? stemCos.getQuick(stemMax.objectA,
stemMax.objectB) : -1;
double phraseScore = phraseMax != null ? phraseCos.getQuick(
phraseMax.objectA, phraseMax.objectB) : -1;
if (phraseScore > stemScore)
{
phraseCos.viewRow(phraseMax.objectA).assign(0);
phraseCos.viewColumn(phraseMax.objectB).assign(0);
stemCos.viewColumn(phraseMax.objectB).assign(0);
clusterLabelFeatureIndex.add(labelsFeatureIndex[phraseMax.objectA
+ firstPhraseIndex]);
clusterLabelScore.add(phraseScore);
}
else
{
stemCos.viewRow(stemMax.objectA).assign(0);
stemCos.viewColumn(stemMax.objectB).assign(0);
if (phraseCos != null)
{
phraseCos.viewColumn(stemMax.objectB).assign(0);
}
clusterLabelFeatureIndex
.add(mostFrequentOriginalWordIndex[filteredRowToStemIndex
.get(stemMax.objectA)]);
clusterLabelScore.add(stemScore);
}
}
context.clusterLabelFeatureIndex = clusterLabelFeatureIndex.toArray();
context.clusterLabelScore = clusterLabelScore.toArray();
}
