Closed kalthwaini closed 1 year ago
Similar question as mine.
Sorry for the late reply!
Could you perhaps include some code that demonstrates the problem for you?
If I run
part1 = la.find_partition(G, la.ModularityVertexPartition, seed=0)
part2 = la.find_partition(G, la.ModularityVertexPartition, seed=0)
then part1.membership == part2.membership
, in other words, I get identical partition, even for random graphs G
.
as many clustering algorithms, find_partition is giving diff results over multiple executions of same input. I'm trying to stablize this and have fixed results of same input. I have tried the seed parameter, but didn't work for me. Is there a way to reach this? (have same results for same input)