evaluationI.setClusterer(clusterers[1]); evaluationI.evaluateClusterer(train); if (evaluationB.equals(evaluationI)) {
evaluationI.setClusterer(clusterers[1]); evaluationI.evaluateClusterer(train); if (evaluationB.equals(evaluationI)) {
evaluationI.setClusterer(clusterers[1]); evaluationI.evaluateClusterer(train); if (!evaluationB.equals(evaluationI)) { println("no"); result[0] = false;
evaluationI.setClusterer(clusterers[1]); evaluationI.evaluateClusterer(train); if (!evaluationB.equals(evaluationI)) { println("no"); result[0] = false;
if (!evaluation1A.equals(evaluation1B)) { if (m_Debug) { println("\n=== Full report ===\n");
if (!evaluation1A.equals(evaluation1B)) { if (m_Debug) { println("\n=== Full report ===\n");