1. Input: An unweighted graph G = (V, E). 2. Output: C = {C1,C2,...,Ck }, k clusters of G. 3. Calculate edge betweenness value ∀(u, v) ∈ E. 4. Remove all edges from G that have a higher betweenness value than a threshold τ . 5. Find the components of GN which are the clusters of G. Write Python Implementation considering figure

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Polynomial Time

The problems for which the deterministic polynomial-time algorithm exists belong to the complexity class (p) and it is central in the field of computational complexity theory. According to Cobham’s thesis, polynomial time is a synonym for “feasible”, “fast”, and “efficient”.