diceR: similarity – R documentation

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similarity

Similarity Matrices

Description

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

Usage

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

Author(s)

Johnson Liu, Derek Chiu

References

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

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)

diceR

Diverse Cluster Ensemble in R

v1.0.3

MIT + file LICENSE

Authors

Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]

Initial release