public static void assignLabels(
List<Cluster<DocumentDataElement>> clusterData, DocumentDataSet dataSet) {
for (Cluster<DocumentDataElement> cluster : clusterData) {
MinMaxPriorityQueue<TermEntry> queue =
MinMaxPriorityQueue.orderedBy(
new Comparator<TermEntry>() {
@Override
public int compare(TermEntry o1, TermEntry o2) {
return -Double.compare(o1.getScore(), o2.getScore());
}
})
.maximumSize(5)
.create();
DocumentCollection localCollection = new DocumentCollection();
for (DocumentDataElement elem : cluster.getDataElements()) {
localCollection.addDocument(elem.getDocument());
}
DocumentVSMGenerator docToVsm = new TFIDF();
DocumentDataSet clusterDataSet = docToVsm.createVSM(localCollection);
// TODO remove this
try {
CSVDataSetExporter.export(clusterDataSet, new File("tmp/" + cluster.getLabel() + ".csv"));
} catch (IOException e) {
}
for (DocumentDataElement elem : clusterDataSet.elements()) {
Document document = elem.getDocument();
for (String term : document.getAllTerms()) {
double termWeight = clusterDataSet.getTermWeight(document.getId(), term);
queue.offer(new TermEntry(term, termWeight * getDocumentCount(term, cluster)));
}
}
String label = "";
StringBuilder labelBuilder = new StringBuilder();
TreeSet<String> words = Sets.newTreeSet();
// TODO this is a debug version of labels
for (TermEntry termEntry : queue) {
labelBuilder
.append(termEntry.getTerm())
.append(":")
.append(String.format("%7.5f", termEntry.getScore()))
.append(";")
.append(getDocumentCount(termEntry.getTerm(), cluster))
.append(",");
words.add(termEntry.getTerm());
}
if (labelBuilder.length() > 0) {
label = labelBuilder.substring(0, labelBuilder.length() - 1);
}
cluster.setLabel(words.toString());
}
}
@Override
public void addUndirectedEdge(int source, int target, Map<String, Object> attributes) {
this.hasUndirectedEdges = true;
edges.offer(new Edge(source, target, attributes, false));
}