###################################################
#Start to get the features learned from feed in data
import get_feature
centroid = []
count = 0
temp = []
n = 3 * 3
num_data = 10000
clusters = [16, 32, 64, 128]
#cluster = 16
#centroid_file = r"%s\%dfeature_%d.txt" %(pwd , cluster , num_data);
for cluster in clusters:
centroid_file = r"%s\25_4_3_%d.txt" % (pwd, cluster)
centroid.append(get_feature.read_features(centroid_file))
'''
data = np.loadtxt(centroid_file,delimiter="\n")
for i in range(0 , len(data)):
temp.append(data[i])
count += 1
if(count == n):
centroid.append(temp)
temp = []
count = 0
'''
print(centroid[0])
print(len(centroid[0]))
###################################################
# Final Run #####
