Mall Customer Segmentation using k-means Clustering | Machine Learning | MATLAB

Dataset: https://www.kaggle.com/vjchoudhary7/c... Documentation of kmeans: https://www.mathworks.com/help/stats/...

%Code (Execute the code stepwise):

clc

clear all

close all

%Step 1--Import Dataset

%Step 2--Take only the AnnualIncome & Spedingscore columns(4 & 5)

Data=Data(:,4:5);

%Step 3--Perform Data Preprocessing

%Checking null value is present or not

sum(ismissing(Data))

%Standardization

Data.AnnualIncome=(Data.AnnualIncome-mean(Data.AnnualIncome))/std(Data.AnnualIncome);

Data.SpendingScore=(Data.SpendingScore-mean(Data.SpendingScore))/std(Data.SpendingScore);

%Convert the data from table to array

Data=table2array(Data);

%Claculate the optimised k value using elbow curve

sa=[];

K=[];

for k=1:20

[idx c sumd]=kmeans(Data,k);

sa=[sa sum(sumd)];

K=[K k];

end

plot(K,sa);

%Original Model

[idx c]=kmeans(Data,5);

gscatter(Data(:,1),Data(:,2),idx);

hold on;

for i=1:5

    t=0:0.01:2*pi;

    x=c(i,1)+0.05*cos(t);

    y=c(i,2)+0.05*sin(t);

    fill(x,y,'k');

end