cts
computes the connected triple based similarity matrix, srs
computes
the simrank based similarity matrix, and asrs
computes the approximated
simrank based similarity matrix.
Arguments
- E
an N by M matrix of cluster ensembles
- dc
decay factor, ranges from 0 to 1 inclusive
- R
number of iterations for
srs
Examples
set.seed(1)
E <- matrix(rep(sample(1:4, 800, replace = TRUE)), nrow = 100)
CTS <- cts(E = E, dc = 0.8)
SRS <- srs(E = E, dc = 0.8, R = 3)
ASRS <- asrs(E = E, dc = 0.8)
purrr::walk(list(CTS, SRS, ASRS), str)
#> num [1:100, 1:100] 1 0.888 0.792 0.811 0.715 ...
#> num [1:100, 1:100] 1 0.06901 0.03048 0.04348 0.00553 ...
#> num [1:100, 1:100] 1 0.638 0.634 0.638 0.653 ...