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Table 2 Parameters for Clest

From: A prediction-based resampling method for estimating the number of clusters in a dataset

Clest parameter

Value

Maximum number of clusters

M = 10 for microarray data

 

M = 5 for simulated data

Number of learning/test set iterations

B = 20

Number of reference datasets

B0 = 20

Size of learning sets b

2n/3

Clustering procedure

PAM

Classifier

Linear discriminant analysis with diagonal covariance matrix - DLDA

Reference null distribution

Uniformity hypothesis

External index

Fowlkes and Mallows [27] external index, FM

Maximum p-value

p max = 0.05

Minimum difference statistic

d min = 0.05