About K means clustering
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% Machine Learning
%%
clc
clear all
% Adjustable Parameters
k=3;
threshold = .68;
%%
%Load image2 image
I = double(imread('3.jpg'));
[row, col, x] = size(I);
input =reshape(I,row*col,3);
%%
% Fuzzy C Means
[center,U] = fcm(input,k);
% Finding the pixels for each class
maxU = max(U);
index1 = find(U(1,:) == maxU);
index2 = find(U(2,:) == maxU);
index3 = find(U(3,:) == maxU);
%%
% Assigning pixel to each class
input(1:length(input))=0;
input(index1)= 0.5;
input(index2)= 0.3;
input(index3)= 0.1;
[nRows, nCols ]=size(U);
%%
% ITERATE THROUGH U
renew=input;
for u = 1:k
for m = 1:nCols
if U(u,m)< threshold
input(m,:)=0;
end
end
%Reshape input and display each result
input = reshape(input,row,col,3);
figure;imshow(input,[]);impixelinfo;
input=renew;
end
This is the code , but I wanna find mean for the first cluter but I'm not able to find it please help me
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