結果
| 問題 |
No.5007 Steiner Space Travel
|
| コンテスト | |
| ユーザー |
|
| 提出日時 | 2022-10-06 13:58:02 |
| 言語 | PyPy3 (7.3.15) |
| 結果 |
AC
|
| 実行時間 | 117 ms / 1,000 ms |
| コード長 | 1,762 bytes |
| コンパイル時間 | 934 ms |
| 実行使用メモリ | 82,772 KB |
| スコア | 6,361,646 |
| 最終ジャッジ日時 | 2022-10-06 13:58:13 |
| 合計ジャッジ時間 | 5,197 ms |
|
ジャッジサーバーID (参考情報) |
judge13 / judge12 |
| 純コード判定しない問題か言語 |
(要ログイン)
| ファイルパターン | 結果 |
|---|---|
| other | AC * 30 |
ソースコード
import itertools
import random
N, M = map(int, input().split())
AB = [list(map(int, input().split())) for _ in range(N)]
class KMeans:
def __init__(self, n_clusters, max_iter = 10, random_seed = 0):
self.n_clusters = n_clusters
self.max_iter = max_iter
def fit(self, X):
self.labels_ = []
now = 0
while len(self.labels_) < len(X):
self.labels_.append(now)
now += 1
now %= self.n_clusters
random.shuffle(self.labels_)
labels_prev = [0]*len(X)
count = 0
self.cluster_centers_ = [(0, 0)] * self.n_clusters
while (not (self.labels_ == labels_prev) and count < self.max_iter):
syuukei = [[] for _ in range(self.n_clusters)]
for i in range(len(X)):
syuukei[self.labels_[i]].append(X[i])
for i,l in enumerate(syuukei):
if l:
x, y = sum(x for x,y in l)//len(l), sum(y for x,y in l)//len(l)
else:
x, y = random.randint(0, 1000), random.randint(0, 1000)
self.cluster_centers_[i] = (x, y)
labels_prev = self.labels_[:]
for i in range(len(X)):
dist = 10**18
for j in range(self.n_clusters):
tmp = (X[i][0] - self.cluster_centers_[j][0])**2 + (X[i][1] - self.cluster_centers_[j][1])**2
if tmp < dist:
dist = tmp
self.labels_[i] = j
count += 1
model = KMeans(8)
model.fit(AB)
labels = model.labels_
centers = model.cluster_centers_
ans = [(1, 0)]
L = sorted(enumerate(labels), key=lambda x: x[1])
for i in range(L[-1][1]+1):
ans.append((2, i))
for j, cluster_number in L:
if cluster_number == i:
ans.append((1, j))
ans.append((2, i))
ans.append((1, 0))
for c,d in centers:
print(c, d)
print(len(ans))
for a,b in ans:
print(a, b+1)