K-means on Multi-networks
Naina Pal, Suryakant Yadav · 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA) · 2022
Many methods have trust that there has to have some common clustering in the networks, one of the methods are multi view and multidomain network clustering. These concepts were specially made for multi-networks resulting in very good and accurate results infact, it showed way better results than individual networks, there still exists those networks who always bring complex results on such clustering structure. Different-different groups makes better cluster and much better clustering performance is achieved. So, such a method is needed who selects the group of networks on its own so here networks that contains or carries same group should share a common clustering structure. To this problem, we have a best solution to this that we apply this problem with K-means, K-means to group and perform clustering on multi networks.