Python ccr 예제들

예제 #1

파일: Cross_Clustering_POINTWISE.py 프로젝트: PointwiseLSH/PointwiseLSHProject

print ccr(crossDatasetTrueClassification, clusteringResults)
# print labelAssignment	
fileContainer.write('\n')
fileContainer.write('The Correct Clustering Rate is : '+ str(ccr(crossDatasetTrueClassification, clusteringResults)))
fileContainer.write('\n')
fileContainer.write('The clustering Jaccard Similarity is : '+ str(jaccardSim(crossDatasetTrueClassification, clusteringResults)))


wholeTrueClasses = np.zeros(1900)
for i, trueClass in enumerate(crossDatasetTrueClassification):
    for trajectory in trueClass:
        wholeTrueClasses[trueClass] = i
print list(wholeTrueClasses[:20])

wholePredClasses = np.zeros(1900)
for i, predClass in enumerate(clusteringResults):
    for trajectory in predClass:
        wholePredClasses[predClass] = i

print list(wholePredClasses[:20])

print normalized_mutual_info_score(wholeTrueClasses, wholePredClasses)
fileContainer.write('\nThe NMI is : '+ str(normalized_mutual_info_score(wholeTrueClasses, wholePredClasses)))
fileContainer.write('\n--------------------------------------------------------------------')

print measurements.ccr(crossDatasetTrueClassification, clusteringResults)
print measurements.jaccardSim(crossDatasetTrueClassification, clusteringResults)
print measurements.NMI(crossDatasetTrueClassification, clusteringResults)

예제 #2

파일: LABOMNI_Clustering_Segmentation_Different_Overlapping_optimization.py 프로젝트: PointwiseLSH/PointwiseLSHProject

				maxIntersection = 0
				for cluster in clusteringResults:
					finalCount = 0
					for oracleCluster in LABOMNIDatasetTrueClassification:
						tempcount = len(set(oracleCluster).intersection(set(cluster)))
						if finalCount < tempcount:
							finalCount = tempcount
					maxIntersection += finalCount
						

				print maxIntersection/15.0

				fileContainer.write('\n')
				fileContainer.write('The clustering Jaccard Similarity is : '+ str(maxIntersection/15.0))
				tempCCR.append(measurements.ccr(LABOMNIDatasetTrueClassification, clusteringResults))
				tempJacardSim.append(measurements.jaccardSim(LABOMNIDatasetTrueClassification, clusteringResults))
				tempNMI.append(measurements.NMI(LABOMNIDatasetTrueClassification, clusteringResults))
				print measurements.jaccardSim(LABOMNIDatasetTrueClassification, clusteringResults)
				print measurements.ccr(LABOMNIDatasetTrueClassification, clusteringResults)
				fileContainer.write('\n')
				fileContainer.write('The Correct Clustering Rate is : '+ str(measurements.ccr(LABOMNIDatasetTrueClassification, clusteringResults)))
				fileContainer.write('\n')
				fileContainer.write('The clustering Jaccard Similarity is : '+ str(measurements.jaccardSim(LABOMNIDatasetTrueClassification, clusteringResults)))
				print measurements.NMI(LABOMNIDatasetTrueClassification, clusteringResults)
				fileContainer.write('\nThe NMI is : '+ str(measurements.NMI(LABOMNIDatasetTrueClassification, clusteringResults)))
				fileContainer.write('\n--------------------------------------------------------------------')
			fileContainer.write('\n')
			fileContainer.write(str(tempCCR))
			fileContainer.write('\n')
			fileContainer.write(str(tempJacardSim))