#!/usr/bin/python

#coding=utf-8

import string

datafile = open("car.txt")

n = 37

m = 2

mat = [[0]*m for i in range(n)]

i = 0

car = datafile.readline()

while car:

car_data = car.strip('\n').split(" ")

j = 0

for items in car_data:

#字符串转换成数字

data1 = string.atoi(items)

mat[i][j] = data1

j = j + 1

#print data1

i = i + 1

car = datafile.readline()

for i in range(n):

for j in range(m):

print mat[i][j],

print

from sklearn.cluster import KMeans

kmeans = KMeans(init='k-means++', n_clusters = 4, n_init = 10)

kmeans.fit(mat)

result = kmeans.predict(mat)

print result