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Table 1 Clustering methods tested for robustness

From: A robustness metric for biological data clustering algorithms

AlgorithmTypeSettingImplementation
AverageHierarchicalNumber of clustersR 3.2.3
CompleteHierarchicalNumber of clustersR 3.2.3
McquittyHierarchicalNumber of clustersR 3.2.3
WardHierarchicalNumber of clustersR 3.2.3
CLICKGraph-basedCluster homogeneityExpander4
NNNGraph-basedMin neighborhood sizeJava
ParacliqueGraph-basedStarting cliqueC++
WGCNAGraph-basedPowerR 3.2.3
K-meansPartitioningNumber of clustersR 3.2.3
QT ClusteringPartitioningMax cluster diameterR 3.2.3
SOMNeural networkGrid type/sizeR 3.2.3