data = []
with open("Mall_Customers.csv",
"r") as dataFile: #dataset of mall_customers
for line in dataFile:
row = line.split(",")
row[-1] = row[-1][:-2]
data.append(row)
line = dataFile.readline
features = data[0][2:]
#for row in data: #uncomment this to see raw dataset
# print(row)
data = prepareData(data)
x = input("enter number of clusters: "
) #this dataset can be effectively devided only into 2 clusters
fcm = FCM(data, x, 100) #create the fcm model
fcm.initializeCenters() #initialize the centers of clusters
current = 0
while ((current < fcm.max_iter) and (not fcm.membershipConvergence())
): #while the membership values not converging
fcm.updateMembershipDegrees()
fcm.updateCenters()
current += 1
"""temporaryClusters=fcm.makeClusters()
for item in temporaryClusters:
if len(item)==0:
maxrand=len(data)
randomIndex=random.randint(10,maxrand)-11
row = data[randomIndex]
item.append(row)"""
#print(fcm.membershipMatrix[0][0])
#plotData(temporaryClusters,fcm.data)
