ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(clusterer); try {
test.setClassIndex(-1); ClusterEvaluation eval = new ClusterEvaluation();
test.setClassIndex(-1); ClusterEvaluation eval = new ClusterEvaluation();
Instances instances = new Instances("iris.arff"); SimpleKMeans simpleKMeans = new SimpleKMeans(); // build clusterer simpleKMeans.setPreservationOrder(true); simpleKMeans.setNumClusters(2); simpleKMeans.buildClusterer(instances); ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(simpleKMeans); eval.evaluateClusterer(instances); System.out.println("Cluster Evaluation: "+eval.clusterResultsToString());
trainHeader = clusterTrain; ClusterEvaluation ce = new ClusterEvaluation(); ce.setClusterer(clusterer); ce.evaluateClusterer(train, trainFileName);
trainHeader = clusterTrain; ClusterEvaluation ce = new ClusterEvaluation(); ce.setClusterer(clusterer); ce.evaluateClusterer(train, trainFileName);
((TaskLogger) m_Log).taskStarted(); ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(clusterer);
((TaskLogger) m_Log).taskStarted(); ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(clusterer);
fullClusterer = (Clusterer) so.getObject(); ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(clusterer); switch (testMode) {
fullClusterer = (Clusterer) so.getObject(); ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(clusterer); switch (testMode) {
m_eval = new ClusterEvaluation(); m_clusterer = ce.getClusterer(); m_eval.setClusterer(m_clusterer);
ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(clusterer); + maxSetNum + ") " + clusterSpec); eval = new ClusterEvaluation(); eval.setClusterer(clusterer); try {
ClusterEvaluation eval = new ClusterEvaluation(); eval.setClusterer(clusterer); + maxSetNum + ") " + clusterSpec); eval = new ClusterEvaluation(); eval.setClusterer(clusterer); try {
m_eval = new ClusterEvaluation(); m_clusterer = ce.getClusterer(); m_eval.setClusterer(m_clusterer);
evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation(); clusterers[0].buildClusterer(train); evaluationB.setClusterer(clusterers[0]);
evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation(); clusterers[0].buildClusterer(train); evaluationB.setClusterer(clusterers[0]);
evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation(); clusterers[0].buildClusterer(train); evaluationB.setClusterer(clusterers[0]);
evaluation1A = new ClusterEvaluation(); evaluation1B = new ClusterEvaluation(); evaluation2 = new ClusterEvaluation(); } catch (Exception ex) { throw new Error("Error setting up for tests: " + ex.getMessage());
evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation(); clusterers[0].buildClusterer(train); evaluationB.setClusterer(clusterers[0]);
evaluation1A = new ClusterEvaluation(); evaluation1B = new ClusterEvaluation(); evaluation2 = new ClusterEvaluation(); } catch (Exception ex) { throw new Error("Error setting up for tests: " + ex.getMessage());