stringPredictor ? getNumString() : 0,
datePredictor ? getNumDate() : 0,
relationalPredictor ? getNumRelational() : 0,
multiInstance);
if (nominalPredictor && !multiInstance)
train.deleteAttributeAt(0);
if (missingLevel > 0)
addMissing(train, missingLevel, predictorMissing);
clusterers = AbstractClusterer.makeCopies(getClusterer(), 2);
evaluationB = new ClusterEvaluation();
evaluationI = new ClusterEvaluation();