kmedoids.py 文件源码

def computeKcliques(self,Number_of_clusters,data):
        partition = dict()
        nb_clusters = Number_of_clusters # this is the number of cluster the dataset is supposed to be partitioned into
        distances = nx.to_numpy_matrix(data)
        clusterid = nx.k_clique_communities(data)

        # print "k_Cliques",clusterid
        # uniq_ids = list(set(clusterid))
        # new_ids = [ uniq_ids.index(val) for val in clusterid]

        # for i,value in enumerate(new_ids):
        #     partition[i] = value
        return partition