def run_and_draw(latituede, longtitude, k):
datList = []
#解析文本数据中的每一行中的数据特征值
for P in range(len(latituede)):
datList.append([latituede[P], longtitude[P]])
datMat = mat(datList)
myCentroids, clusterAssing = K_means.biKmeans(datMat, k)
LA = mean(latituede)
LO = mean(longtitude)
center = []
other = []
# 添加聚类中点
for h, l in zip(myCentroids[:, 0].flatten().A[0],
myCentroids[:, 1].flatten().A[0]): # 解包操作
center.append([f(h), f(l)])
for m in range(k):
# 添加城市点
ptsInCurrCluster = datMat[nonzero(clusterAssing[:, 0].A == m)[0], :]
for i, j in zip(ptsInCurrCluster[:, 0].flatten().A[0],
ptsInCurrCluster[:, 1].flatten().A[0]): # 解包操作
other.append([f(i), f(j), m])
print('[INFO]: 景点聚类完成')
return center, other, LO, LA
