To write a python program to implement K-Means Clustering Algorithm.
- Hardware – PCs
- Anaconda – Python 3.7 Installation
Import the necessary packages.
Read the csv file.
Scatter plot the applicant income and loan amount.
Obtain the kmean clustring for 2 classes.
Pretict the cluster group of Applicant Income and Loanamount.
Developed By: Jegathish s
Roll no: 21005410
import pandas as pd
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import seaborn as sns
x1=pd.read_csv("clustering.csv")
print(x1.head(2))
x2=x1.loc[:,["ApplicantIncome",'LoanAmount']]
print(x2.head(2))
x=x2.values
#print(x)
sns.scatterplot(x[:,0],x[:,1])
plt.xlabel("Income")
plt.ylabel('Loan')
plt.show()
Kmeans=KMeans(n_clusters=4)
kmeans.fit(x)
print("cluster centers:",kmeans.cluster_centers_)
print("Labes:",kmeans.labels_)
predict_class = kmeans.predict([[9000,1200]])
print("Cluster group for application income 9000 and loanamount 120 is",predict_class)
Thus the K-means clustering algorithm is implemented and predicted the cluster class using python program.
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