#saving TOP terms per cluster:
order_centroids = km.cluster_centers_.argsort()[:, ::-1]
terms = feature_names
for i in range(numK):
for ind in order_centroids[i, :15]:
clusterList[i].topTerms.append(terms[ind])
#saving post per cluster
counter = 0
for post in postCollection.list:
postCluster = km.labels_[counter]
clusterList[postCluster].posts.append(post)
post.cluster = postCluster
counter += 1
# for post in postCollection.list:
# print(post.cluster)
#
# for i in range(numK):
# print("\n\n\nCluster Num:%d." % i)
# for post in postCollection.getClusterElements(i):
# print(post.text)
if opts.showCluster:
for cluster in clusterList:
print("%s\n\n\nCluster Num:%s%d.%s" % (RED,BOLD,cluster.id,ENDC))
topTermString = ""
for topTerm in cluster.topTerms:
topTermString += topTerm + " "
