runSpectral.m

runSpectral(cluster_K, ensemble_num)

The Spectral 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:

cluster_K: default='10'

Attributes 1:

cluster_K: number of clusters

Parameters 2:

ensemble_num: default='10'

Attributes 2:

ensemble_num: number of basic clusterings

Example

run runSpectral.m:

cd BiobjectiveFruitFlyOptimizationAlgorithm/
matlab
runSpectral(10,10)

output:

==========run spectral clustering.==================
10

goolam
Starting parallel pool (parpool) using the 'local' profile Connected to the parallel pool (number of workers: 12).

The spectral_cluster_K_5.csv is produced and saved in the ./OutputData.