def computeKmeansCustom(self,Number_of_clusters,data, iterations = 100):
distances = nx.to_numpy_matrix(data)
clusters,medoids = self.cluster(distances,Number_of_clusters)
new_ids = [ uniq_ids.index(val) for val in clusterid]
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