runBioFOA.m

runBioFOA(algorithm_name, cluster_K, res)

Performing dynamic ensemble pruning.

Parameters 1:

algorithm_name: "Louvain", "Leiden", "spectral"

Attributes 1:

algorithm_name: name of basic clustering algorithm

Parameters 2:

cluster_K: int

Attributes 2:

cluster_K: number of clusters same as spectral clustering algorithm

Parameters 3:

res: float

Attributes 3:

res: resolution same as Louvain or Leiden clustering algorithm

Example

run runBioFOA.m

runBioFOA("spectral", 5, 1)

output:

==========run Ensemble Pruning.==================
goolam
==========load spectral ensemble=================
=========  NMI  ==========
0.8900
=========  ARI  ==========
0.9100

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