Px = sum_x / len(clusters)
print(int(Px) * 10000)

mn = 0                         
centr = []
for cur in cluster:
    s = 0
    for p in cluster:
        s += dist(cur[:2], p[:2])
    if s < mn:
        mn = s
        centr = cur

for j in found_star:
    if len(j) == 2:
        if 5.3 <= j[0][2] <= 10 and 2.5 <= j[1][2] <= 5:    
            bin_stars.append(j)

mn = 10**10
centr = []
for cur in cluster:
    s = 0
    for p in cluster:
        s += dist(cur, p)       
    if s < mn:
        mn = s
        centr = cur

# Кластеризация проведена алгоритмом DBSCAN
for j in found_star:
    if len(j) == 3:
        triple_stars.append(j)