robinCompareFast | R Documentation |
This function compares two community detection algorithms.
Is the parallelized and faster version of robinCompare
robinCompareFast(
graph,
method1 = c("walktrap", "edgeBetweenness", "fastGreedy", "leadingEigen", "louvain",
"spinglass", "labelProp", "infomap", "optimal", "leiden", "other"),
args1 = list(),
method2 = c("walktrap", "edgeBetweenness", "fastGreedy", "leadingEigen", "louvain",
"spinglass", "labelProp", "infomap", "optimal", "leiden", "other"),
args2 = list(),
measure = c("vi", "nmi", "split.join", "adjusted.rand"),
FUN1 = NULL,
FUN2 = NULL,
verbose = TRUE,
BPPARAM = BiocParallel::bpparam()
)
graph |
The output of prepGraph. |
method1 |
The first clustering method, one of "walktrap", "edgeBetweenness", "fastGreedy", "louvain", "spinglass", "leadingEigen", "labelProp", "infomap","optimal". |
args1 |
A |
method2 |
The second custering method one of "walktrap", "edgeBetweenness","fastGreedy", "louvain", "spinglass", "leadingEigen", "labelProp", "infomap","optimal". |
args2 |
A |
measure |
The stability measure, one of "vi", "nmi", "split.join", "adjusted.rand" all normalized and used as distances. "nmi" refers to 1- nmi and "adjusted.ran" refers to 1-adjusted.rand. |
FUN1 |
personal designed function when |
FUN2 |
personal designed function when |
verbose |
flag for verbose output (default as TRUE). |
BPPARAM |
the BiocParallel object of class |
A list object with two matrices: - the matrix "Mean1" with the means of the procedure for the first method - the matrix "Mean2" with the means of the procedure for the second method
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