/** Resets the values for the next cluster search. */
protected void reset() {
rows = BitsUtil.ones(rowM.length);
rowcard = rowM.length;
cols = BitsUtil.ones(colM.length);
colcard = colM.length;
BitsUtil.zeroI(irow);
}
/**
* Main loop for OUTRES
*
* @param relation Relation to process
* @return Outlier detection result
*/
public OutlierResult run(Relation<V> relation) {
WritableDoubleDataStore ranks =
DataStoreUtil.makeDoubleStorage(relation.getDBIDs(), DataStoreFactory.HINT_STATIC);
DoubleMinMax minmax = new DoubleMinMax();
KernelDensityEstimator kernel = new KernelDensityEstimator(relation);
long[] subspace = BitsUtil.zero(kernel.dim);
FiniteProgress progress =
LOG.isVerbose() ? new FiniteProgress("OUTRES scores", relation.size(), LOG) : null;
for (DBIDIter iditer = relation.iterDBIDs(); iditer.valid(); iditer.advance()) {
BitsUtil.zeroI(subspace);
double score = outresScore(0, subspace, iditer, kernel);
ranks.putDouble(iditer, score);
minmax.put(score);
LOG.incrementProcessed(progress);
}
LOG.ensureCompleted(progress);
OutlierScoreMeta meta =
new InvertedOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0., 1., 1.);
OutlierResult outresResult =
new OutlierResult(
meta,
new MaterializedDoubleRelation("OUTRES", "outres-score", ranks, relation.getDBIDs()));
return outresResult;
}