cts computes the connected triple based similarity matrix, srs computes the simrank based similarity matrix, and asrs computes the approximated simrank based similarity matrix.

cts(E, dc)

srs(E, dc, R)

asrs(E, dc)

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

Value

an N by N CTS, SRS, or ASRS matrix

References

MATLAB functions cts, srs, asrs in package LinkCluE by Simon Garrett

Author

Johnson Liu, Derek Chiu

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 ...