An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks

Pseudocode 1

(pseudocode of the ELM-CD).

ELM-CD ()

1 initialize constant parameters, including , ,

2 generate from

3 normalize

4 randomly generate input weights and biases of neurons in hidden layer

5 calculate according to Eq. (6)

6 if

7  select the first smallest eigenvalues of Eq. (11) and assemble

     using the corresponding eigenvectors as in Eq. (12)

8 else

9  select the first smallest eigenvalues of Eq. (13) and assemble

     using the corresponding eigenvectors as in Eq. (14)

10 archive the embedding matrix

11 randomly select rows from as centroids, say

12 while changed

13  for to

14   for to

15    

16   find the smallest element in and its corresponding index

17   

18  for to

19   update to be the mean value of all members in cluster

20 return