CountClusters: Use clustering consensus to infer cluster number

In mkarikom/RSoptSC: Low-Rank Factorization for Subspace-clustering

Use clustering consensus to infer cluster number

Description

Use clustering consensus to infer cluster number.

Usage

CountClusters(data, tol = 0.01, range = 2:20, eigengap = TRUE, n_comp)

Arguments

data	a symmetric nonnegative similarity matrix
tol	cutoff for lambda zero
range	a vector specifying the min and max number of clusters to iteratively test when building the consensus matrix
eigengap	whether or not to use the max eigengap (upper bound) cluster count
n_comp	the number of similarity components to use for ensemble clustering

Value

the number of clusters and the vector of eigenvalues

mkarikom/RSoptSC documentation built on May 10, 2023, 1:10 a.m.