def main(fn, clusters_no):
geo_locs = []
#read location data from csv file and store each location as a Point(latit,longit) object
df = pd.read_csv(fn)
for index, row in df.iterrows():
loc_ = Point(float(row['LAT']), float(row['LON'])) #tuples for location
geo_locs.append(loc_)
#run k_means clustering
cluster = Clustering(geo_locs, clusters_no)
flag = cluster.k_means(False)
if flag == -1:
print("Error in arguments!")
else:
#clustering results is a list of lists where each list represents one cluster
print("Clustering results:")
cluster.print_clusters(cluster.clusters)
