def evaluate(self, clustering, condensed_distance_matrix, cohesions = None):
all_clusters = clustering.clusters
my_cohesions_dic = {}
if (cohesions is None):
#Calculate_cohesions if not given
cohesion_calctor = CohesionCalculator()
for cluster in all_clusters:
my_cohesions_dic[cluster] = cohesion_calctor.evaluate_cluster(cluster, condensed_distance_matrix)
else:
for i, cluster in enumerate(all_clusters):
my_cohesions_dic[cluster] = cohesions[i]
total_separation = 0
for i, cluster in enumerate(all_clusters):
separation = self.cluster_separation(cluster, clustering, my_cohesions_dic[cluster], condensed_distance_matrix)
total_separation = total_separation + separation
return total_separation
