header=["CLASS"]
columnas=12534
for i in range (1,columnas):
    header.append("G"+str(i)
)
header

import pandas as pd
from sklearn.cluster import KMeans
from sklearn import metrics
import re
from sklearn.preprocessing import Imputer
from numpy import random
import seaborn as sb
import matplotlib.pyplot as plt



### Set path to the data set
dataset_path = "data11tumors.csv"

## Load data
#data = pd.read_csv(dataset_path,header=0,index_col=0)
data = pd.read_csv(dataset_path,header=None,index_col=None,names=header)
data.to_csv("Prueba.csv")