def main(input_f):
(countries, vectors) = k_means.read_file(input_f)
clusters = utils.hcluster(vectors, distance=distance_function)
utils.drawdendrogram(clusters,
list(map(lambda x: x[1], countries)),
jpeg='data/hierarchical.jpg')
# Self-picked clusters from the graph which I considered good
good_clusters = [
clusters.left, clusters.right.left, clusters.right.right.left.left,
clusters.right.right.left.right.left,
clusters.right.right.left.right.right,
clusters.right.right.right.right, clusters.right.right.right.left
]
cluster_level = []
for cluster in good_clusters:
country_ids = []
get_all(cluster, country_ids)
cluster_level.append(country_ids)
for i in range(num_clusters):
print('cluster {}:'.format(i + 1))
print([countries[r] for r in cluster_level[i]])
print("SSE: " + str(k_means.sse(cluster_level, vectors)))
def analysis(request):
if request.method == 'POST':
num_centroids = int(request.POST.get('num_centroids'))
num_points = int(request.POST.get('num_points'))
pc = MongoDB.list_all_postal_codes()
list_analysis = []
i = 0
while i < num_points:
r = random.randint(0, (len(pc)-1))
list_analysis.append(pc.pop(r))
i += 1
points, centroids = k_means.k_means_lists(num_centroids, 20, list_analysis)
dic = k_means.sse(points, centroids)
regions, table = viewLists.listTableMoreInputs()
t = get_template('analysis.html')
html = t.render(
Context(
{
'regions' : regions,
'table': table,
'center' : "-23.2062436,-45.900007" ,
'localizations' : points,
'colors' : ColorsRandom.generate_colors(num_centroids),
'centroids' : centroids,
'sse' : dic,
'hospitals' : MongoDB.list_all_healths(),
'csrf_token' : csrf(request)['csrf_token']
}
)
)
html = html.replace("'", "'")
return HttpResponse(html)
# return render_to_response(
# 'index.html',
# context_instance=RequestContext(request))
regions, table = viewLists.listTableMoreInputs()
t = get_template('index.html')
html = t.render(
Context(
{
'regions' : regions,
'table': table,
'csrf_token' : csrf(request)['csrf_token']
}
)
)
html = html.replace("'", "'")
return HttpResponse(html)
def main(input_f):
(countries, vectors) = k_means.read_file(input_f)
clusters = kcluster_bisect([list(range(len(vectors)))], vectors, distance=distance_function, k=num_clusters)
proper_clusters = [] # Nonempty clusters
for i in range(num_clusters):
if len(clusters[i]) == 0:
continue
proper_clusters.append(clusters[i])
print('cluster {}:'.format(i + 1))
print([countries[r] for r in clusters[i]])
print("SSE: " + str(k_means.sse(proper_clusters, vectors)))
def main(input_f):
(countries, vectors) = k_means.read_file(input_f)
k_arr = []
sse_arr = []
for num in range_clusters:
clusters = utils.kcluster(vectors,
distance=k_means.distance_function,
k=num)
proper_clusters = []
print(str(round((float(num) / 50) * 100)) + "%")
for i in range(num):
if len(clusters[i]) != 0:
proper_clusters.append(clusters[i])
k_arr.append(num)
sse_arr.append(k_means.sse(proper_clusters, vectors))
plt.plot(k_arr, sse_arr)
plt.ylabel("SSE")
plt.xlabel("k")
plt.xticks(np.arange(0, 50, 2))
plt.show()
def locations(request):
regions, table = viewLists.listTableMoreInputs()
if request.method == 'POST':
# center's maps
num_clusters = int(request.POST.get('num_clusters'))
colors = ColorsRandom.generate_colors(num_clusters)
country = request.POST.get('country')
state = request.POST.get('state')
city = request.POST.get('city')
center = Geocode.geocode([country + ' ' + state + ' ' + city, city], isCenter=True)
center = str(center['lat']) + "," + str(center['lng'])
# ceps's locations
ceps_list = [
[country + ' ' +
state + ' ' +
city + ' ' +
i, i] for i in request.POST.get('ceps').split(';')]
# items = Geocode.parallelGeocode(ceps_list)
items = []
for i in ceps_list:
items.append(Geocode.geocode(i))
points, centroids = k_means.k_means_lists(num_clusters, 20, items)
dic = k_means.sse(points, centroids)
t = get_template('maps.html')
html = t.render(
Context(
{
'regions' : regions,
'table': table,
'center' : center ,
'localizations' : points,
'colors' : colors,
'centroids' : centroids,
'sse' : dic,
'hospitals' : MongoDB.list_all_healths(),
'csrf_token' : csrf(request)['csrf_token']
}
)
)
html = html.replace("'", "'")
return HttpResponse(html)
# return render_to_response(
# 'index.html',
# context_instance=RequestContext(request))
t = get_template('index.html')
html = t.render(
Context(
{
'regions' : regions,
'table': table,
'csrf_token' : csrf(request)['csrf_token']
}
)
)
html = html.replace("'", "'")
return HttpResponse(html)