runLeiden.R

runLeiden(res, ensemble_num)

The Leiden clustering algorithm is employed to address the non-linear embedding in the latent space to produce multiple underlying cluster results to generate cluster ensemble.

Parameters 1:

res: default='1'

Attributes 1:

res: resolution

Parameters 2:

ensemble_num: default='10'

Attributes 2:

ensemble_num: number of basic clusterings

Example

run runLeiden.R:

R
source("runLeiden.R")
runLeiden(res=1, ensemble_num = 10)

output:

********************************************** .
output 9 of  1  latent:  goolam .
********************************************** .
---------------------------------------------- .
resolution:  1 .
---------------------------------------------- .
Computing nearest neighbor graph
Computing SNN
[1] "============  Leiden   ============"
...
...
...
********************************************** .
output 9 of  9  latent:  goolam .
********************************************** .
---------------------------------------------- .
resolution:  1 .
---------------------------------------------- .
Computing nearest neighbor graph
Computing SNN
[1] "============  Leiden   ============"

The Leiden_resolution_1.csv is produced and saved in the ./OutputData.