def dendrodata():
rows, cols, matrix = data.get_data('blogdata.txt')
print "Calculating clusters...",
tree = groups.cluster_dict(groups.cluster_hierarchy(matrix), rows)
print " DONE."
return {"tree": tree}
def blogdata(clustered=False):
def dict_clusters(clust):
count = dict(zip(cols, matrix[clust.id]))
count.update({'Blog': rows[clust.id]})
return count
rows, cols, matrix = data.get_data('blogdata.txt')
if clustered:
print "Calculating clusters...",
clusters = groups.cluster_list(groups.cluster_hierarchy(matrix))
print " DONE."
counts = map(dict_clusters, clusters)
else:
counts = []
for i, vector in enumerate(matrix):
d = dict(zip(cols, vector))
d.update({'Blog': rows[i]})
counts.append(d)
return {"cols": cols, "counts": counts}