doKSpectral: Run Specral K to select optimum and maximum K from Consensus...

Description Usage Arguments Value Author(s) References

View source: R/doKSpectral.R

Description

Run Specral K to select optimum and maximum K from Consensus Clustering

Usage

1

Arguments

cnr

a cnr bundle, with 'ccp'

...

additional parameters passed

Value

doKSpectral returns two matrices

kStats a dataframe containing number of stable K clusters (spectral K) for every kCC (K parameter), and the maximum delta Lamdba.

eigenVals a data frame containing the eigen values for each kCC

Lastly, it returns optK, a vector containing the recomended kCC and the value of 'k' i.e. (spectral K). These are the kCC for the max number of k and max dLambdaMax

Author(s)

Nick Socci <soccin@mskcc.org>

References

Philip A. Knight (2008) The Sinkhorn–Knopp Algorithm: Convergence and Applications. SIAM Journal on Matrix Analysis and Applications 30(1), 261-275. doi: 10.1137/060659624


SingerLab/gac documentation built on July 22, 2021, 3:27 a.m.