def generate_route_clusters(user, nClusters = -1):
## update route clusters:
print "In profile, generating route clusters for %s" % user
routes_user = user_route_data(user,get_section_db())
#print(routes_user.keys())
update_user_routeDistanceMatrix(user,routes_user,step1=100000,step2=100000,method='dtw')
if nClusters == -1:
nClusters = int(math.ceil(len(routes_user)/8) + 1)
clusters_user = kmedoids(routes_user,nClusters,user,method='dtw')
update_user_routeClusters(user,clusters_user[2],method='dtw')
def generate_route_clusters(user):
print "In profile, generating route clusters for %s" % user
data = cp.read_data(uuid=user)
data, bins = cp.remove_noise(data, 300)
num_clusters, labels, data = cp.cluster(data, len(bins))
clusters = {}
for i in range(num_clusters):
idx = labels.index(i)
tripid = data[idx].trip_id
clusters[tripid] = []
for j in range(len(labels)):
if labels[j] == i:
clusters[tripid].append(data[j].trip_id)
update_user_routeClusters(user, clusters)
def generate_route_clusters(user):
print "In profile, generating route clusters for %s" % user
data = cp.read_data(uuid=user)
data, bins = cp.remove_noise(data, 300)
num_clusters, labels, data = cp.cluster(data, len(bins))
clusters = {}
for i in range(num_clusters):
idx = labels.index(i)
tripid = data[idx].trip_id
clusters[tripid] = []
for j in range(len(labels)):
if labels[j] == i:
clusters[tripid].append(data[j].trip_id)
update_user_routeClusters(user, clusters)
