Impact-Site-Verification: dbe48ff9-4514-40fe-8cc0-70131430799e

Search This Blog

KNN Classification | MATLAB

Code:-


clc
clear all
close all
warning off
x=input('Enter the first parameter');
y=input('Enter the second parameter:');
c=input('Enter the class');
k=input('Enter the k value');
a=input('Enter the first parameter value of the test acid:');
b=input('Enter the second parameter value of the test acid:');
distance=[];
for i=1:length(x)
    e=sqrt((x(i)-a)^2+(y(i)-b)^2);
    distance=[distance e];
end
temp=0;
gemp=0;
for i=1:length(distance)
    for j=1:(length(distance)-i)
        if(distance(j)>distance(j+1))
            temp=distance(j);
            distance(j)=distance(j+1);
            distance(j+1)=temp;
            gemp=c(j);
            c(j)=c(j+1);
            c(j+1)=gemp;
        end
    end
end
classy=[];
for i=1:k
    classy=[classy c(i)];
end
output=mode(classy);


No comments

Popular Posts

Followers