def get_authors(self):
'''
Returns the authors of the documents that appear in this cluster.
'''
ws = WarehouseServer()
authors = set(ws.get_document_authors(self.document_dict.keys()))
return list(authors)
def output_clusters_to_file(clusters, rownames, filename):
'''
DEPRECATED
This method takes as input a set of clusters and generates
a very simplistic representation of these clusters in text form
in a file.
'''
ws = WarehouseServer()
out = file(filename, 'w')
out.write("Clustering results")
out.write('\n')
i = 0
for cluster in clusters:
out.write('\n')
out.write(
'***********************************************************')
out.write('\n')
out.write("Cluster" + str(i))
out.write('\n')
for document in cluster:
out.write(ws.get_document_by_id(rownames[document]).content)
out.write('\n')
i += 1
''' Created on 26 Jan 2012 @author: george ''' import unittest, datetime from analysis.clustering.dbscan import DBSCANClusterer from database.warehouse import WarehouseServer from collections import OrderedDict ########################################### # GLOBALS # ########################################### ws = WarehouseServer() epsilon = 2.0 min_pts = 2.0 points = [] points.append([1,1]) points.append([1.5,1]) points.append([1.8,1.5]) points.append([2.1,1]) points.append([3.1,2]) points.append([4.1,2]) points.append([5.1,2]) points.append([10,10]) points.append([11,10.5]) points.append([9.5,11]) points.append([9.9,11.4]) points.append([15.0, 17.0]) points.append([15.0, 17.0]) points.append([7.5, -5.0])
