for (int j = i + 1; j < instances.size(); j++) { FeatureVector fvj = (FeatureVector)instances.get(j).getData(); if (fvi.contains("feature0") && fvj.contains("feature0")) { singletons = ClusterUtils.mergeClusters(singletons, singletons.getLabel(i), singletons.getLabel(j)); } else if (!(fvi.contains("feature0") || fvj.contains("feature0")) && random.nextUniform() < noise) {
for (int j = i + 1; j < instances.size(); j++) { FeatureVector fvj = (FeatureVector)instances.get(j).getData(); if (fvi.contains("feature0") && fvj.contains("feature0")) { singletons = ClusterUtils.mergeClusters(singletons, singletons.getLabel(i), singletons.getLabel(j)); } else if (!(fvi.contains("feature0") || fvj.contains("feature0")) && random.nextUniform() < noise) {
for (int j = i + 1; j < instances.size(); j++) { FeatureVector fvj = (FeatureVector)instances.get(j).getData(); if (fvi.contains("feature0") && fvj.contains("feature0")) { singletons = ClusterUtils.mergeClusters(singletons, singletons.getLabel(i), singletons.getLabel(j)); } else if (!(fvi.contains("feature0") || fvj.contains("feature0")) && random.nextUniform() < noise) {
comparisons++; for (int ii = 0; ii < valsi.numLocations(); ii++) { if (valsj.contains(valueAlph.lookupObject(valsi .indexAtLocation(ii)))) { matches++;
comparisons++; for (int ii = 0; ii < valsi.numLocations(); ii++) { if (valsj.contains(valueAlph.lookupObject(valsi .indexAtLocation(ii)))) { matches++;
comparisons++; for (int ii = 0; ii < valsi.numLocations(); ii++) { if (valsj.contains(valueAlph.lookupObject(valsi .indexAtLocation(ii)))) { matches++;