Table 3 Ensemble perturbations.

Major perturbations applied to the data or to the clustering parameters in ensemble clustering and their intended purpose.

PerturbationReason behind perturbationReferences
KIdentify the optimum number of clusters(46, 60, 63)
NoiseIdentify relationships within the data that are not affected by biological or experimental noise(45, 47, 64)
Starting point (nondeterministic
algorithms)
Identify those partitions that are independent of starting position or identify set of minima(23, 48)
Projections into lower dimensionsIncrease robustness to clustering noise resulting from high dimensionality(30, 63, 6567)
SubsamplingIdentify subsets of the data that cluster consistently(6870)
Parameters of clusteringIdentify unpredicted biological information(32)