how to change fuzzy sub cluster code to kmeans

A=xlsread('APNORM.xlsx',5,'J12:M41');

B=xlsread('APNORM.xlsx',5,'P12:S41');

C=[A;B];

[Co,S,L] = pca(C);

S=S(:,1:2);

[C,b] = subclust(S,0.9);

scatter(S(1:30,1),S(1:30,2),'ob');

hold on

scatter(S(31:60,1),S(31:60,2),'or');

scatter(C(:,1),C(:,2),'dm');

xlabel('PC1');

ylabel('PC2');

legend('Normal','Hipoksemia','Titik Tengah Klaster');

Answer 1

[Anay]

Hi Maria,

I understand that you are trying to use k-means clustering instead of subtractive clustering. To achieve this, you can use the “kmeans” function instead of the “subclust” function to use k-means algorithm for clustering.

Note that you need to specify number of clusters as input to the “kmeans” function.

You can refer to the documentation of the “kmeans” function by using the following command in the Command Window of MATLAB:

>>doc kmeans 

Hope this helps!