centroids = []
for x in number_of_centroids:
centroid = Centroid()
centroids.append(centroid)
for candidate_email in candidate_emails:
minimum_distance = 12
distance_from_centroid = 12
centroid_to_be_assigned = None
candidate_email.classification = calculator.classify(candidate_email)
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()
