for centroid in centroids:
distance_from_centroid = centroid.distance_from(candidate_email)
if distance_from_centroid < minimum_distance:
centroid_to_be_assigned = centroid
minimum_distance = distance_from_centroid
centroid_to_be_assigned.add_to_cluster(candidate_email)
while calculator.check_all_clusters_homogeneity(centroids) == False:
expanded_centroids = []
new_centroids = []
for centroid in centroids:
if calculator.check_cluster_homogeneity(
centroid.cluster_data) == False:
new_centroids = centroid.split_cluster()
for candidate_email in centroid.cluster_data:
minimum_distance = 12
distance_from_centroid = 12
centroid_to_be_assigned = None
for centroid in new_centroids:
distance_from_centroid = centroid.distance_from(
candidate_email)
if distance_from_centroid < minimum_distance:
centroid_to_be_assigned = centroid
minimum_distance = distance_from_centroid
centroid_to_be_assigned.add_to_cluster(candidate_email)
expanded_centroids.append(new_centroids[0])
