subcluster.m

模糊核聚类算法的几篇论文及matlab源码

clear all
clc
load kes.txt;

data = kes;

% data=data(:,[1,2]);
% datamin=min(data,[],1);
datamin = min(data);
% datamax=max(data,[],1);
datamax = max(data);
for i=1:43,
    for j=1:12,
        data(i,j)=(data(i,j)-datamin(1,j))/(datamax(1,j)-datamin(1,j));
    end
end
       [C] = subclust(data,2) 
       length(C)