doKSpectral | R Documentation |
Run Specral K to select optimum and maximum K from Consensus Clustering
doKSpectral(cnr, ...)
cnr |
a cnr bundle, with 'ccp' |
... |
additional parameters passed |
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
Nick Socci <soccin@mskcc.org>
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
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